Co-clustering : models, algorithms and applications /
Briefly presenting different methods from well established to more recent, this title considers a number of different approaches and addresses the difficulty of these classical methods to tackle the high dimensionality, the sparsity, and the scalability that leads to co-clustering.
Main Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
London : Hoboken :
ISTE, Ltd. ; John Wiley & Sons,
2014.
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Series: | Computer engineering series.
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Cluster Analysis / Gérard Govaert, Mohamed Nadif
- Model-Based Co-Clustering / Gérard Govaert, Mohamed Nadif
- Co-Clustering of Binary and Categorical Data / Gérard Govaert, Mohamed Nadif
- Co-Clustering of Contingency Tables / Gérard Govaert, Mohamed Nadif
- Co-Clustering of Continuous Data / Gérard Govaert, Mohamed Nadif.