Items related to High Dimensional Data Visualization Using Self Organizing...
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.
"synopsis" may belong to another edition of this title.
Buy New
View this item
£ 32.31
£ 9.61 shipping from Germany to United Kingdom
Destination, rates & speedsSearch results for High Dimensional Data Visualization Using Self Organizing...
Seller Image
High Dimensional Data Visualization Using Self Organizing Maps
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659818178
ISBN 13: 9783659818172
Used
Softcover
Seller: WeBuyBooks, Rossendale, LANCS, United Kingdom
Seller rating 5 out of 5 stars
Condition: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Seller Inventory # wbs9546115827
Quantity: 1 available
Seller Image
High Dimensional Data Visualization Using Self Organizing Maps
Published by
LAP LAMBERT Academic Publishing Mai 2018, 2018
ISBN 10: 3659818178
ISBN 13: 9783659818172
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 52 pp. Englisch. Seller Inventory # 9783659818172
Quantity: 2 available
Seller Image
High Dimensional Data Visualization Using Self Organizing Maps
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659818178
ISBN 13: 9783659818172
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9783659818172
Quantity: 1 available
Seller Image
High Dimensional Data Visualization Using Self Organizing Maps
Published by
LAP LAMBERT Academic Publishing Mai 2018, 2018
ISBN 10: 3659818178
ISBN 13: 9783659818172
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch. Seller Inventory # 9783659818172
Quantity: 2 available
Stock Image
High Dimensional Data Visualization Using Self Organizing Maps
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659818178
ISBN 13: 9783659818172
New
Paperback
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock. Seller Inventory # 3659818178
Quantity: 1 available