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Clustering for Classification - Reuben Evans
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Reuben Evans:
Clustering for Classification - nouveau livre

ISBN: 9783639031638

ID: cb66865de54f7147b205af5721ed92fa

Advances in technology have provided industry with an arrayof devices for collecting data. The frequency and scale of data collection means that there are now many large datasets being generated. To find patterns in these datasets it would be useful to be able to apply modern methods of classification such as support vector machines. Unfortunately these methods are computationally expensive, quadratic in the number of data points in fact, and socannot be applied directly. This book proposes a framework where by a variety of clustering methods can be used to summarise datasets, that is, reduce them to a smaller but still representative dataset so that these advanced methods can be applied. It compares the results of using this framework against using random selection on alarge number of classification and regression problems. Results show thatthe clustered datasets are on average fifty percent smaller than the original datasets without loss of classification accuracy which is significantly better than random selection. They also show that there is no free lunch, for each dataset it is important to choose a clustering method carefully. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Informatik & EDV, [PU: VDM Verlag Dr. Müller, Saarbrücken]

Nouveaux livres Dodax.de
Nr. 57b31b6077722508f71127c6 Frais d'envoiVersandkosten: 0.0 EUR, Lieferzeit: 7 Tage, DE. (EUR 0.00)
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Clustering for Classification - Reuben Evans
Livre non disponible
(*)
Reuben Evans:
Clustering for Classification - nouveau livre

2008, ISBN: 9783639031638

[ED: Pappeinband], [PU: Bertrams Print On Demand], - Advances in technology have provided industry with an array of devices for collecting data. The frequency and scale of data collection means that there are now many large datasets being generated. To find patterns in these datasets it would be useful to be able to apply modern methods of classification such as support vector machines. Unfortunately these methods are computationally expensive, quadratic in the number of data points in fact, and so cannot be applied directly. This book proposes a framework whereby a variety of clustering methods can be used to summarise datasets, that is, reduce them to a smaller but still representative dataset so that these advanced methods can be applied. It compares the results of using this framework against using random selection on a large number of classification and regression problems. Results show that the clustered datasets are on average fifty percent smaller than the original datasets without loss of classification accuracy which is significantly better than random selection. They also show that there is no free lunch, for each dataset it is important to choose a clustering method carefully. - Besorgungstitel - vorauss. Lieferzeit 3-5 Tage.., [SC: 0.00]

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Clustering for Classification - Reuben Evans
Livre non disponible
(*)
Reuben Evans:
Clustering for Classification - nouveau livre

ISBN: 9783639031638

ID: 44abf666684a05da2b284e1cf4fee6c4

Advances in technology have provided industry with an arrayof devices for collecting data. The frequency and scale of data collection means that there are now many large datasets being generated. To find patterns in these datasets it would be useful to be able to apply modern methods of classification such as support vector machines. Unfortunately these methods are computationally expensive, quadratic in the number of data points in fact, and socannot be applied directly. This book proposes a framework where by a variety of clustering methods can be used to summarise datasets, that is, reduce them to a smaller but still representative dataset so that these advanced methods can be applied. It compares the results of using this framework against using random selection on alarge number of classification and regression problems. Results show thatthe clustered datasets are on average fifty percent smaller than the original datasets without loss of classification accuracy which is significantly better than random selection. They also show that there is no free lunch, for each dataset it is important to choose a clustering method carefully. Buch / Broschur, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Clustering for Classification - Evans, Reuben
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Evans, Reuben:
Clustering for Classification - Livres de poche

2008, ISBN: 3639031636, Lieferbar binnen 4-6 Wochen Frais d'envoiVersandkostenfrei innerhalb der BRD

ID: 9783639031638

Internationaler Buchtitel. In englischer Sprache. Verlag: VDM Verlag, Paperback, 108 Seiten, L=220mm, B=150mm, H=6mm, Gew.=177gr, [GR: 16390 - HC/Informatik/EDV/Sonstiges], Kartoniert/Broschiert

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Clustering for Classification: Using Standard Clustering Methods to Summarise Datasets with Minimal Loss of Classificat - Reuben Evans
Livre non disponible
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Reuben Evans:
Clustering for Classification: Using Standard Clustering Methods to Summarise Datasets with Minimal Loss of Classificat - nouveau livre

ISBN: 9783639031638

ID: 471683514

NA Loss, VDM Verlag Dr Mueller Aktiengesellschaft &amp amp amp amp amp amp amp Co KG

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Informations détaillées sur le livre - Clustering for Classification


EAN (ISBN-13): 9783639031638
ISBN (ISBN-10): 3639031636
Version reliée
Livre de poche
Date de parution: 2008
Editeur: VDM Verlag
108 Pages
Poids: 0,177 kg
Langue: eng/Englisch

Livre dans la base de données depuis 18.01.2007 08:05:04
Livre trouvé récemment le 30.08.2017 11:32:45
ISBN/EAN: 9783639031638

ISBN - Autres types d'écriture:
3-639-03163-6, 978-3-639-03163-8


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