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...
সংরক্ষণ করুন:
| প্রধান লেখক: | |
|---|---|
| বিন্যাস: | Livre numérique |
| ভাষা: | Anglais |
| প্রকাশিত: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| সংস্করন: | 1st ed. 2013. |
| মালা: | Intelligent Systems Reference Library
51 |
| অনলাইন ব্যবহার করুন: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| টীকা: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| 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 |
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|---|---|---|---|
| 001 | 946672 | ||
| 008 | 130704q2000 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN170492516 | ||
| 020 | |a 9783642386527 | ||
| 041 | 0 | |a eng | |
| 082 | |a 519 | ||
| 100 | 1 | |a Kramer, Oliver. | |
| 245 | 1 | 0 | |a Dimensionality reduction with unsupervised nearest neighbors |c by Oliver Kramer. |
| 250 | |a 1st ed. 2013. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Intelligent Systems Reference Library |v 51 |x 1868-4408 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Part I Foundations Part II Unsupervised Nearest Neighbors Part III Conclusions | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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, unsupervised nearest neighbors (UNN) is introduced as efficient iterative method for dimensionality reduction. Various UNN models are developed step by step, reaching from a simple iterative strategy for discrete latent spaces to a stochastic kernel-based algorithm for learning submanifolds with independent parameterizations. Extensions that allow the embedding of incomplete and noisy patterns are introduced. Various optimization approaches are compared, from evolutionary to swarm-based heuristics. Experimental comparisons to related methodologies taking into account artificial test data sets and also real-world data demonstrate the behavior of UNN in practical scenarios. The book contains numerous color figures to illustrate the introduced concepts and to highlight the experimental results. | ||
| 776 | 0 | |t Dimensionality Reduction with Unsupervised Nearest Neighbors |b Texte imprimé |z 9783642386510 | |
| 776 | 0 | |t Dimensionality Reduction with Unsupervised Nearest Neighbors |b Texte imprimé |z 9783642386510 | |
| 776 | 0 | |t Dimensionality Reduction with Unsupervised Nearest Neighbors |b Texte imprimé |z 9783642386534 | |
| 776 | 0 | |t Dimensionality Reduction with Unsupervised Nearest Neighbors |b Texte imprimé |z 9783662518953 | |
| 776 | 0 | |t Dimensionality Reduction with Unsupervised Nearest Neighbors |b Texte imprimé |z 9783642386510 | |
| 776 | 0 | |t Dimensionality Reduction with Unsupervised Nearest Neighbors |b Texte imprimé |z 9783642386534 | |
| 776 | 0 | |t Dimensionality Reduction with Unsupervised Nearest Neighbors |b Texte imprimé |z 9783662518953 | |
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| 997 | |0 946672 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||