
Co-Clustering by Mohamed Nadif
Briefly presenting different methods from well established to more recent, Co-Clustering 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.Gérard Govaert is Professor at the University of Technology of Compiègne, France. He is also a member of the CNRS Laboratory Heudiasyc (Heuristic and diagnostic of complex systems). His research interests include latent structure modeling, model selection, model-based cluster analysis, block clustering and statistical pattern recognition. He is one of the authors of the MIXMOD (MIXtureMODelling) software.
Mohamed Nadif is Professor at the University of Paris-Descartes, France, where he is a member of LIPADE (Paris Descartes computer science laboratory) in the Mathematics and Computer Science department. His research interests include machine learning, data mining, model-based cluster analysis, co-clustering, factorization and data analysis.
| SKU | Unavailable |
| ISBN 13 | 9781848214736 |
| ISBN 10 | 1848214731 |
| Title | Co-Clustering |
| Author | Mohamed Nadif |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | ISTE Ltd and John Wiley & Sons Inc |
| Year published | 2013-11-29 |
| Number of pages | 256 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |