Advances in Self Organizing Maps Learning Vector Quantization Clustering and Data Visualization is popular PDF and ePub book, written by Alfredo Vellido in 2019-04-27, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Advances in Self Organizing Maps Learning Vector Quantization Clustering and Data Visualization can be Read Online from any device for your convenience.
Advances in Self Organizing Maps Learning Vector Quantization Clustering and Data Visualization Book PDF Summary
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.
Detail Book of Advances in Self Organizing Maps Learning Vector Quantization Clustering and Data Visualization PDF
- Author : Alfredo Vellido
- Release : 27 April 2019
- Publisher : Springer
- ISBN : 9783030196424
- Genre : Technology & Engineering
- Total Page : 342 pages
- Language : English
- PDF File Size : 19,7 Mb
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