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.

Bibliographic Details
Main Authors: Govaert, Gérard (Author), Nadif, Mohamed (Author)
Format: eBook
Language:English
Published: London : Hoboken : ISTE, Ltd. ; John Wiley & Sons, 2014.
Series:Computer engineering series.
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.