Advances in Self-Organizing Maps and Learning Vector Quantization: Proceedings of the 10th International Workshop, WSOM 2014, Mittweida, Germany, . in Intelligent Systems and Computing)
5 Angebote vergleichen
Bester Preis: € 115,11 (vom 19.12.2017)1
Advances in Self-Organizing Maps and Learning Vector Quantization (2014)
DE NW EB
ISBN: 9783319076942 bzw. 3319076949, in Deutsch, Springer International Publishing, neu, E-Book.
Lieferung aus: Vereinigte Staaten von Amerika, EBook Dataoverføre.
Computers, The book collects the scientific contributions presented at the 10th Workshop on Self-Organizing Maps (WSOM 2014) held at the University of Applied Sciences Mittweida, Mittweida (Germany, Saxony), on July 24, 2014. Starting with the first WSOM-workshop 1997 in Helsinki this workshop focuses on newest results in the field of supervised and unsupervised vector quantization like self-organizing maps for data mining and data classification. This 10th WSOM brought together more than 50 researchers, experts and practitioners in the beautiful small town Mittweida in Saxony (Germany) nearby the mountains Erzgebirge to discuss new developments in the field of unsupervised self-organizing vector quantization systems and learning vector quantization approaches for classification. The book contains the accepted papers of the workshop after a careful review process as well as summaries of the invited talks.Among these book chapters there are excellent examples of the use of self-organizing maps in agriculture, computer science, data visualization, health systems, economics, engineering, social sciences, text and image analysis and time series analysis. Other chapters present the latest theoretical work on self-organizing maps as well as learning vector quantization methods, such as relating those methods to classical statistical decision methods. All the contribution demonstrate that vector quantization methods cover a large range of application areas including data visualization of high-dimensional complex data, advanced decision making and classification or data clustering and data compression. eBook.
Computers, The book collects the scientific contributions presented at the 10th Workshop on Self-Organizing Maps (WSOM 2014) held at the University of Applied Sciences Mittweida, Mittweida (Germany, Saxony), on July 24, 2014. Starting with the first WSOM-workshop 1997 in Helsinki this workshop focuses on newest results in the field of supervised and unsupervised vector quantization like self-organizing maps for data mining and data classification. This 10th WSOM brought together more than 50 researchers, experts and practitioners in the beautiful small town Mittweida in Saxony (Germany) nearby the mountains Erzgebirge to discuss new developments in the field of unsupervised self-organizing vector quantization systems and learning vector quantization approaches for classification. The book contains the accepted papers of the workshop after a careful review process as well as summaries of the invited talks.Among these book chapters there are excellent examples of the use of self-organizing maps in agriculture, computer science, data visualization, health systems, economics, engineering, social sciences, text and image analysis and time series analysis. Other chapters present the latest theoretical work on self-organizing maps as well as learning vector quantization methods, such as relating those methods to classical statistical decision methods. All the contribution demonstrate that vector quantization methods cover a large range of application areas including data visualization of high-dimensional complex data, advanced decision making and classification or data clustering and data compression. eBook.
2
Advances in Self-Organizing Maps and Learning Vector Quantization: Proceedings of the 10th International Workshop, WSOM 2014, Mittweida, Germany, . in Intelligent Systems and Computing) (2014)
EN PB NW
ISBN: 9783319076942 bzw. 3319076949, in Englisch, 328 Seiten, 2014. Ausgabe, Springer, Taschenbuch, neu.
Fra: £101.54 (11 Tilbud)
Brukt fra: £110.82 (6 Tilbud)
Vis mer 17 Tilbud på Amazon.co.uk
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Usually dispatched within 2-3 business days, pluss frakt (hvis levert).
Von Händler/Antiquariat, BOOKS etc.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, BOOKS etc.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
3
Symbolbild
Advances in Self-Organizing Maps and Learning Vector Quantization. Proceedings of the 10th International Workshop, Wsom 2014, Mittweida, Germany, July, 2-4, 2014 (2014)
DE PB NW
ISBN: 9783319076942 bzw. 3319076949, in Deutsch, 2014. Ausgabe, Springer, Taschenbuch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, pluss frakt, Leveringsområdet: EUR.
Von Händler/Antiquariat, Herb Tandree Philosophy Books, Stroud, Glos, [RE:4].
Paperback, 2014 ed.
Von Händler/Antiquariat, Herb Tandree Philosophy Books, Stroud, Glos, [RE:4].
Paperback, 2014 ed.
4
Symbolbild
Advances in Self-Organizing Maps and Learning Vector Quantization (2014)
DE PB NW
ISBN: 9783319076942 bzw. 3319076949, in Deutsch, 2014. Ausgabe, Springer International Publishing AG, Taschenbuch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, pluss frakt, Leveringsområdet: EUR.
Von Händler/Antiquariat, Paperbackshop International, GLOS, Fairford, [RE:4].
Softcover, 2014 ed.
Von Händler/Antiquariat, Paperbackshop International, GLOS, Fairford, [RE:4].
Softcover, 2014 ed.
5
Advances in Self-Organizing Maps and Learning Vector Quantization: Proceedings of the 10th International Workshop, WSOM 2014, Mitt (2014)
DE PB NW
ISBN: 9783319076942 bzw. 3319076949, in Deutsch, Springer International Publishing, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, På lager, pluss frakt.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Lade…