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Authors: Rodolphe Priam 1 ; Mohamed Nadif 2 and Gérard Govaert 3

Affiliations: 1 University of Southampton, United Kingdom ; 2 Université Paris Descartes, France ; 3 Université de Technologie de Compiègne, France

Keyword(s): Generative topographic mapping, Latent block model, Contingency table, Clustering.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Clustering ; Computational Intelligence ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Hybrid Learning Algorithms ; Knowledge Acquisition and Representation ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: The latent block model is an efficient alternative to the mixture model for modelling a dataset when the number of rows or columns of the data matrix studied is large. For analyzing and reducing the spaces of a matrix, the methods proposed in the litterature are most of the time with their foundation in a non-parametric or a mixture model approach. We present an embedding of the projection of co-occurrence tables in the Poisson latent block mixture model. Our approach leads to an efficient way to cluster and reduce this kind of data matrices.

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Paper citation in several formats:
Priam, R.; Nadif, M. and Govaert, G. (2012). NONLINEAR MAPPING BY CONSTRAINED CO-CLUSTERING. In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM; ISBN 978-989-8425-98-0; ISSN 2184-4313, SciTePress, pages 63-68. DOI: 10.5220/0003764800630068

@conference{icpram12,
author={Rodolphe Priam. and Mohamed Nadif. and Gérard Govaert.},
title={NONLINEAR MAPPING BY CONSTRAINED CO-CLUSTERING},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM},
year={2012},
pages={63-68},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003764800630068},
isbn={978-989-8425-98-0},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM
TI - NONLINEAR MAPPING BY CONSTRAINED CO-CLUSTERING
SN - 978-989-8425-98-0
IS - 2184-4313
AU - Priam, R.
AU - Nadif, M.
AU - Govaert, G.
PY - 2012
SP - 63
EP - 68
DO - 10.5220/0003764800630068
PB - SciTePress

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