High Dimensional Data Visualization Using Self Organizing Maps - Couverture souple

Chaudhary, Dr. Vikas; Bhatia, Dr. R.S.; Ahlawat, Dr. Anil K.

 
9783659818172: High Dimensional Data Visualization Using Self Organizing Maps
Couverture souple
ISBN 10 : 3659818178 ISBN 13 : 9783659818172
Editeur : LAP LAMBERT Academic Publishing, 2018

Synopsis

A Self-organizing map is a non-linear, unsupervised neural network that is used for data clustering and visualization of high-dimensional data. A Self-organizing map uses U-matrix to visualize the high-dimensional data and the distances between neurons on the map. However, the structure of clusters and their shapes are often distorted. For better visualization of high-dimensional data, a new approach high dimensional data visualization Self-organizing map (HVSOM) is explained. The HVSOM preserve the inter-neuron distance and better visualizes the differences between the clusters. In HVSOM, the distances between input data points on the map resemble same those in the original space.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2018
Langue
anglais
ISBN 10 
3659818178
ISBN 13 
9783659818172
Reliure
Broché
Nombre de pages
52
Coordonnées du fabricant
non disponible
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