Dimensionality reduction with unsupervised nearest neighbors

This book is devoted to a novel approach for dimensionality reduction based on the famous nearest neighbor method that is a powerful classification and regression approach. It starts with an introduction to machine learning concepts and a real-world application from the energy domain. Then, unsuperv...

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Bibliografiske detaljer
Hovedforfatter: Kramer, Oliver
Format: Livre numérique
Sprog:Anglais
Udgivet: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Udgivelse:1st ed. 2013.
Serier:Intelligent Systems Reference Library 51
Online adgang:Accès sur la plateforme de l'éditeur
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Accès Université d'Orléans
Accès INSA CVL
Kommentar: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Dimensionality Reduction with Unsupervised Nearest Neighbors, Texte imprimé, 9783642386510
• Dimensionality Reduction with Unsupervised Nearest Neighbors, Texte imprimé, 9783642386510
• Dimensionality Reduction with Unsupervised Nearest Neighbors, Texte imprimé, 9783642386534
• Dimensionality Reduction with Unsupervised Nearest Neighbors, Texte imprimé, 9783662518953
• Dimensionality Reduction with Unsupervised Nearest Neighbors, Texte imprimé, 9783642386510
• Dimensionality Reduction with Unsupervised Nearest Neighbors, Texte imprimé, 9783642386534
• Dimensionality Reduction with Unsupervised Nearest Neighbors, Texte imprimé, 9783662518953
Indholdsfortegnelse:
  • Part I Foundations Part II Unsupervised Nearest Neighbors Part III Conclusions