Advances In Self Organizing Maps Learning Vector Quantization Clustering And Data Visualization

Download Advances In Self Organizing Maps Learning Vector Quantization Clustering And Data Visualization full books in PDF, epub, and Kindle. Read online Advances In Self Organizing Maps Learning Vector Quantization Clustering And Data Visualization ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization

Author : Alfredo Vellido
Publisher : Springer
ISBN 13 : 3030196429
Total Pages : 347 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization by : Alfredo Vellido

Download or read book Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization written by Alfredo Vellido and published by Springer. This book was released on 2019-04-27 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers papers presented at the 13th International Workshop on Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization (WSOM+), which was held in Barcelona, Spain, from the 26th to the 28th of June 2019. Since being founded in 1997, the conference has showcased the state of the art in unsupervised machine learning methods related to the successful and widely used self-organizing map (SOM) method, and extending its scope to clustering and data visualization. In this installment of the AISC series, the reader will find theoretical research on SOM, LVQ and related methods, as well as numerous applications to problems in fields ranging from business and engineering to the life sciences. Given the scope of its coverage, the book will be of interest to machine learning researchers and practitioners in general and, more specifically, to those looking for the latest developments in unsupervised learning and data visualization.

Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization

Author : Jan Faigl
Publisher : Springer Nature
ISBN 13 : 3031154444
Total Pages : 130 pages
Book Rating : 4.0/5 (311 download)

DOWNLOAD NOW!

Book Synopsis Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization by : Jan Faigl

Download or read book Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization written by Jan Faigl and published by Springer Nature. This book was released on 2022-08-26 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this collection, the reader can find recent advancements in self-organizing maps (SOMs) and learning vector quantization (LVQ), including progressive ideas on exploiting features of parallel computing. The collection is balanced in presenting novel theoretical contributions with applied results in traditional fields of SOMs, such as visualization problems and data analysis. Besides, the collection further includes less traditional deployments in trajectory clustering and recent results on exploiting quantum computation. The presented book is worth interest to data analysis and machine learning researchers and practitioners, specifically those interested in being updated with current developments in unsupervised learning, data visualization, and self-organization.

Advances in Self-Organizing Maps and Learning Vector Quantization

Author : Thomas Villmann
Publisher : Springer
ISBN 13 : 3319076957
Total Pages : 314 pages
Book Rating : 4.3/5 (19 download)

DOWNLOAD NOW!

Book Synopsis Advances in Self-Organizing Maps and Learning Vector Quantization by : Thomas Villmann

Download or read book Advances in Self-Organizing Maps and Learning Vector Quantization written by Thomas Villmann and published by Springer. This book was released on 2014-06-10 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book collects the scientific contributions presented at the 10th Workshop on Self-Organizing Maps (WSOM 2014) held at the University of Applied Sciences Mittweida, Mittweida (Germany, Saxony), on July 2–4, 2014. Starting with the first WSOM-workshop 1997 in Helsinki this workshop focuses on newest results in the field of supervised and unsupervised vector quantization like self-organizing maps for data mining and data classification. This 10th WSOM brought together more than 50 researchers, experts and practitioners in the beautiful small town Mittweida in Saxony (Germany) nearby the mountains Erzgebirge to discuss new developments in the field of unsupervised self-organizing vector quantization systems and learning vector quantization approaches for classification. The book contains the accepted papers of the workshop after a careful review process as well as summaries of the invited talks. Among these book chapters there are excellent examples of the use of self-organizing maps in agriculture, computer science, data visualization, health systems, economics, engineering, social sciences, text and image analysis and time series analysis. Other chapters present the latest theoretical work on self-organizing maps as well as learning vector quantization methods, such as relating those methods to classical statistical decision methods. All the contribution demonstrate that vector quantization methods cover a large range of application areas including data visualization of high-dimensional complex data, advanced decision making and classification or data clustering and data compression.

Advances in Self-Organizing Maps and Learning Vector Quantization

Author : Erzsébet Merényi
Publisher : Springer
ISBN 13 : 3319285181
Total Pages : 353 pages
Book Rating : 4.3/5 (192 download)

DOWNLOAD NOW!

Book Synopsis Advances in Self-Organizing Maps and Learning Vector Quantization by : Erzsébet Merényi

Download or read book Advances in Self-Organizing Maps and Learning Vector Quantization written by Erzsébet Merényi and published by Springer. This book was released on 2016-01-07 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the articles from the international conference 11th Workshop on Self-Organizing Maps 2016 (WSOM 2016), held at Rice University in Houston, Texas, 6-8 January 2016. WSOM is a biennial international conference series starting with WSOM'97 in Helsinki, Finland, under the guidance and direction of Professor Tuevo Kohonen (Emeritus Professor, Academy of Finland). WSOM brings together the state-of-the-art theory and applications in Competitive Learning Neural Networks: SOMs, LVQs and related paradigms of unsupervised and supervised vector quantization.The current proceedings present the expert body of knowledge of 93 authors from 15 countries in 31 peer reviewed contributions. It includes papers and abstracts from the WSOM 2016 invited speakers representing leading researchers in the theory and real-world applications of Self-Organizing Maps and Learning Vector Quantization: Professor Marie Cottrell (Universite Paris 1 Pantheon Sorbonne, France), Professor Pablo Estevez (University of Chile and Millennium Instituteof Astrophysics, Chile), and Professor Risto Miikkulainen (University of Texas at Austin, USA). The book comprises a diverse set of theoretical works on Self-Organizing Maps, Neural Gas, Learning Vector Quantization and related topics, and an excellent variety of applications to data visualization, clustering, classification, language processing, robotic control, planning, and to the analysis of astronomical data, brain images, clinical data, time series, and agricultural data.

Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization

Author : Jan Faigl
Publisher :
ISBN 13 : 9783031154454
Total Pages : 0 pages
Book Rating : 4.1/5 (544 download)

DOWNLOAD NOW!

Book Synopsis Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization by : Jan Faigl

Download or read book Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization written by Jan Faigl and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this collection, the reader can find recent advancements in self-organizing maps (SOMs) and learning vector quantization (LVQ), including progressive ideas on exploiting features of parallel computing. The collection is balanced in presenting novel theoretical contributions with applied results in traditional fields of SOMs, such as visualization problems and data analysis. Besides, the collection further includes less traditional deployments in trajectory clustering and recent results on exploiting quantum computation. The presented book is worth interest to data analysis and machine learning researchers and practitioners, specifically those interested in being updated with current developments in unsupervised learning, data visualization, and self-organization.

Advances in Self-Organizing Maps

Author : Jorma Laaksonen
Publisher : Springer Science & Business Media
ISBN 13 : 3642215653
Total Pages : 380 pages
Book Rating : 4.6/5 (422 download)

DOWNLOAD NOW!

Book Synopsis Advances in Self-Organizing Maps by : Jorma Laaksonen

Download or read book Advances in Self-Organizing Maps written by Jorma Laaksonen and published by Springer Science & Business Media. This book was released on 2011-06-03 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Workshop on Self-Organizing Maps, WSOM 2011, held in Espoo, Finland, in June 2011. The 36 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on plenaries; financial and societal applications; theory and methodology; applications of data mining and analysis; language processing and document analysis; and visualization and image processing.

Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond

Author : Thomas Villmann
Publisher : Springer Nature
ISBN 13 : 3031671597
Total Pages : 240 pages
Book Rating : 4.0/5 (316 download)

DOWNLOAD NOW!

Book Synopsis Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond by : Thomas Villmann

Neural Information Processing

Author : Long Cheng
Publisher : Springer
ISBN 13 : 3030041824
Total Pages : 703 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!

Book Synopsis Neural Information Processing by : Long Cheng

Download or read book Neural Information Processing written by Long Cheng and published by Springer. This book was released on 2018-12-03 with total page 703 pages. Available in PDF, EPUB and Kindle. Book excerpt: The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing, ICONIP 2018, held in Siem Reap, Cambodia, in December 2018. The 401 full papers presented were carefully reviewed and selected from 575 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The third volume, LNCS 11303, is organized in topical sections on embedded learning, transfer learning, reinforcement learning, and other learning approaches.

Advances in Self-Organizing Maps

Author : Pablo A. Estévez
Publisher : Springer Science & Business Media
ISBN 13 : 3642352308
Total Pages : 371 pages
Book Rating : 4.6/5 (423 download)

DOWNLOAD NOW!

Book Synopsis Advances in Self-Organizing Maps by : Pablo A. Estévez

Download or read book Advances in Self-Organizing Maps written by Pablo A. Estévez and published by Springer Science & Business Media. This book was released on 2012-12-14 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Self-organizing maps (SOMs) were developed by Teuvo Kohonen in the early eighties. Since then more than 10,000 works have been based on SOMs. SOMs are unsupervised neural networks useful for clustering and visualization purposes. Many SOM applications have been developed in engineering and science, and other fields. This book contains refereed papers presented at the 9th Workshop on Self-Organizing Maps (WSOM 2012) held at the Universidad de Chile, Santiago, Chile, on December 12-14, 2012. The workshop brought together researchers and practitioners in the field of self-organizing systems. Among the book chapters there are excellent examples of the use of SOMs in agriculture, computer science, data visualization, health systems, economics, engineering, social sciences, text and image analysis, and time series analysis. Other chapters present the latest theoretical work on SOMs as well as Learning Vector Quantization (LVQ) methods.

Advances in Contemporary Statistics and Econometrics

Author : Abdelaati Daouia
Publisher : Springer Nature
ISBN 13 : 3030732495
Total Pages : 713 pages
Book Rating : 4.0/5 (37 download)

DOWNLOAD NOW!

Book Synopsis Advances in Contemporary Statistics and Econometrics by : Abdelaati Daouia

Download or read book Advances in Contemporary Statistics and Econometrics written by Abdelaati Daouia and published by Springer Nature. This book was released on 2021-06-14 with total page 713 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a unique collection of contributions on modern topics in statistics and econometrics, written by leading experts in the respective disciplines and their intersections. It addresses nonparametric statistics and econometrics, quantiles and expectiles, and advanced methods for complex data, including spatial and compositional data, as well as tools for empirical studies in economics and the social sciences. The book was written in honor of Christine Thomas-Agnan on the occasion of her 65th birthday. Given its scope, it will appeal to researchers and PhD students in statistics and econometrics alike who are interested in the latest developments in their field.

Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond

Author : Thomas Villmann
Publisher : Springer
ISBN 13 : 9783031671586
Total Pages : 0 pages
Book Rating : 4.6/5 (715 download)

DOWNLOAD NOW!

Book Synopsis Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond by : Thomas Villmann

Download or read book Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond written by Thomas Villmann and published by Springer. This book was released on 2024-08-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the peer-reviewed contributions of the 15th International Workshop on Self-Organizing Maps, Learning Vector Quantization and Beyond (WSOM$+$ 2024), held at the University of Applied Sciences Mittweida (UAS Mitt\-weida), Germany, on July 10–12, 2024. The book highlights new developments in the field of interpretable and explainable machine learning for classification tasks, data compression and visualization. Thereby, the main focus is on prototype-based methods with inherent interpretability, computational sparseness and robustness making them as favorite methods for advanced machine learning tasks in a wide variety of applications ranging from biomedicine, space science, engineering to economics and social sciences, for example. The flexibility and simplicity of those approaches also allow the integration of modern aspects such as deep architectures, probabilistic methods and reasoning as well as relevance learning. The book reflects both new theoretical aspects in this research area and interesting application cases. Thus, this book is recommended for researchers and practitioners in data analytics and machine learning, especially those who are interested in the latest developments in interpretable and robust unsupervised learning, data visualization, classification and self-organization.

Projection-Based Clustering through Self-Organization and Swarm Intelligence

Author : Michael Christoph Thrun
Publisher : Springer
ISBN 13 : 3658205407
Total Pages : 210 pages
Book Rating : 4.6/5 (582 download)

DOWNLOAD NOW!

Book Synopsis Projection-Based Clustering through Self-Organization and Swarm Intelligence by : Michael Christoph Thrun

Download or read book Projection-Based Clustering through Self-Organization and Swarm Intelligence written by Michael Christoph Thrun and published by Springer. This book was released on 2018-01-09 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cluster analysis, the Databionic swarm (DBS). DBS consists of the 3D landscape visualization and clustering of data. The 3D landscape enables 3D printing of high-dimensional data structures. The clustering and number of clusters or an absence of cluster structure are verified by the 3D landscape at a glance. DBS is the first swarm-based technique that shows emergent properties while exploiting concepts of swarm intelligence, self-organization and the Nash equilibrium concept from game theory. It results in the elimination of a global objective function and the setting of parameters. By downloading the R package DBS can be applied to data drawn from diverse research fields and used even by non-professionals in the field of data mining.

Advances in Computational Intelligence

Author : Ignacio Rojas
Publisher : Springer
ISBN 13 : 3030205215
Total Pages : 956 pages
Book Rating : 4.0/5 (32 download)

DOWNLOAD NOW!

Book Synopsis Advances in Computational Intelligence by : Ignacio Rojas

Download or read book Advances in Computational Intelligence written by Ignacio Rojas and published by Springer. This book was released on 2019-06-05 with total page 956 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 10305 and LNCS 10306 constitutes the refereed proceedings of the 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, held at Gran Canaria, Spain, in June 2019. The 150 revised full papers presented in this two-volume set were carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on machine learning in weather observation and forecasting; computational intelligence methods for time series; human activity recognition; new and future tendencies in brain-computer interface systems; random-weights neural networks; pattern recognition; deep learning and natural language processing; software testing and intelligent systems; data-driven intelligent transportation systems; deep learning models in healthcare and biomedicine; deep learning beyond convolution; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control, and manufacturing; image and signal processing; soft computing; mathematics for neural networks; internet modeling, communication and networking; expert systems; evolutionary and genetic algorithms; advances in computational intelligence; computational biology and bioinformatics.

Modelling and Simulation for Autonomous Systems

Author : Jan Mazal
Publisher : Springer Nature
ISBN 13 : 3030438902
Total Pages : 450 pages
Book Rating : 4.0/5 (34 download)

DOWNLOAD NOW!

Book Synopsis Modelling and Simulation for Autonomous Systems by : Jan Mazal

Download or read book Modelling and Simulation for Autonomous Systems written by Jan Mazal and published by Springer Nature. This book was released on 2020-03-30 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the 6th International Workshop on Modelling and Simulation for Autonomous Systems, MESAS 2019, held in Palermo, Italy, in October 2019. The 22 full papers and 13 short papers included in the volume were carefully reviewed and selected from 53 submissions. They are organized in the following topical sections: M&S of intelligent systems - AI, R&D and application; future challenges of advanced M&S technology; AxS in context of future warfare and security environment (concepts, applications, training, interoperability, etc.).

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation

Author : Igor V. Tetko
Publisher : Springer Nature
ISBN 13 : 3030304876
Total Pages : 848 pages
Book Rating : 4.0/5 (33 download)

DOWNLOAD NOW!

Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation by : Igor V. Tetko

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation written by Igor V. Tetko and published by Springer Nature. This book was released on 2019-09-09 with total page 848 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Principles of Data Mining and Knowledge Discovery

Author : Jan Zytkow
Publisher : Springer Science & Business Media
ISBN 13 : 3540664904
Total Pages : 608 pages
Book Rating : 4.5/5 (46 download)

DOWNLOAD NOW!

Book Synopsis Principles of Data Mining and Knowledge Discovery by : Jan Zytkow

Download or read book Principles of Data Mining and Knowledge Discovery written by Jan Zytkow and published by Springer Science & Business Media. This book was released on 1999-09-01 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD'99, held in Prague, Czech Republic in September 1999. The 28 revised full papers and 48 poster presentations were carefully reviewed and selected from 106 full papers submitted. The papers are organized in topical sections on time series, applications, taxonomies and partitions, logic methods, distributed and multirelational databases, text mining and feature selection, rules and induction, and interesting and unusual issues.

Neuroinformatics and Semantic Representations

Author : Alexander Kharlamov
Publisher : Cambridge Scholars Publishing
ISBN 13 : 1527549526
Total Pages : 317 pages
Book Rating : 4.5/5 (275 download)

DOWNLOAD NOW!

Book Synopsis Neuroinformatics and Semantic Representations by : Alexander Kharlamov

Download or read book Neuroinformatics and Semantic Representations written by Alexander Kharlamov and published by Cambridge Scholars Publishing. This book was released on 2020-04-14 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes an approach to the analysis of information using a neural network based on neural-like elements and temporal summation of signals, which makes it possible to implement a structural approach to the analysis of information streams. Together with associative access to information, structural multilevel analysis enables the interpretation of information processing in columns of the cerebral cortex of humans. Using representations of information processing in the hippocampus, it is possible to re-construct the human model of the world and to interpret purposeful behaviour. The book describes the procedure for synchronizing the world models of various people, allowing automatic semantic analysis of unstructured text information, including construction of a semantic network of a text as its semantic portrait.