Articoli correlati a High Dimensional Data Visualization Using Self Organizing...
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Compra usato
Condizioni: molto buonoMost items will be dispatched the...
Visualizza questo articolo
EUR 27,00
EUR 5,31 per la spedizione da Regno Unito a U.S.A.
Destinazione, tempi e costiCompra nuovo
Visualizza questo articolo
EUR 35,90
EUR 23,00 per la spedizione da Germania a U.S.A.
Destinazione, tempi e costiRisultati della ricerca per High Dimensional Data Visualization Using Self Organizing...
Immagini fornite dal venditore
High Dimensional Data Visualization Using Self Organizing Maps
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659818178
ISBN 13: 9783659818172
Antico o usato
Brossura
Da: WeBuyBooks, Rossendale, LANCS, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: 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. Codice articolo wbs9546115827
Quantità: 1 disponibili
Immagini fornite dal venditore
High Dimensional Data Visualization Using Self Organizing Maps
Editore:
LAP LAMBERT Academic Publishing Mai 2018, 2018
ISBN 10: 3659818178
ISBN 13: 9783659818172
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: 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. Codice articolo 9783659818172
Quantità: 2 disponibili
Immagini fornite dal venditore
High Dimensional Data Visualization Using Self Organizing Maps
Editore:
LAP LAMBERT Academic Publishing Mai 2018, 2018
ISBN 10: 3659818178
ISBN 13: 9783659818172
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: 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. Codice articolo 9783659818172
Quantità: 2 disponibili
Foto dell'editore
High Dimensional Data Visualization Using Self Organizing Maps
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659818178
ISBN 13: 9783659818172
Nuovo
Paperback
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock. Codice articolo 3659818178
Quantità: 1 disponibili
Immagini fornite dal venditore
High Dimensional Data Visualization Using Self Organizing Maps
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659818178
ISBN 13: 9783659818172
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: 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. Codice articolo 9783659818172
Quantità: 1 disponibili