High Dimensional Data Visualization Using Self Organizing Maps - Softcover

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

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

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

Dr. Vikas Chaudhary is working as a Professor in Computer Engineering Department, Madda Walabu University, Bale Robe, Ethiopia. Dr. R.S. Bhatia is working as a Professor in Electrical Engineering Department, National Institute of Technology(NIT), Kurukshetra, India. Dr. Anil K. Ahlawat is working as a Professor in Computer Science & Engineering Department, Krishna Institute of Engineering & Technology(KIET), Ghaziabad, India.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2018
Sprache
Englisch
ISBN 10 
3659818178
ISBN 13 
9783659818172
Einband
Taschenbuch
Anzahl der Seiten
52
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
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