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.
Read More ↓Title Statements
- Full title :Co-clustering : models, algorithms and applications / Gérard Govaert, Mohamed Nadif.
Summary
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.
Read More ↓Edition Statements
- Publication Date:©2014
Publication Statements
The Physical Object
- Description:1, 200 pages : : illustrations ; : 25 cm.
Edition Identifiers
- ISBN:9781848214736, 1848214731
- oclc:ocn861648552
- LC Classification:QA278
- Dewey Decimal:519.53
Table of Contents
Cluster analysis -- Model-based co-clustering -- Co-clustering of binary and categorical data -- Co-clustering of contingency tables -- Co-clustering of continuous data.
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