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  1. Pubblicazioni

Towards constrained co-clustering in ordered 0/1 data sets

Contributo in Atti di convegno
Data di Pubblicazione:
2006
Abstract:
Within 0/1 data, co-clustering provides a collection of bi-clusters, i.e., linked clusters for both objects and Boolean properties. Beside the classical need for grouping quality optimization, one can also use user-defined constraints to capture subjective interestingness aspects and thus to improve bi-cluster relevancy. We consider the case of 0/1 data where at least one dimension is ordered, e.g., objects denotes time points, and we introduce co-clustering constrained by interval constraints. Exploiting such constraints during the intrinsically heuristic clustering process is challenging. We propose one major step in this direction where bi-clusters are computed from collections of local patterns. We provide an experimental validation on two temporal gene expression data sets.
Tipologia CRIS:
04A-Conference paper in volume
Keywords:
constrained co-clustering
Elenco autori:
R. G. Pensa; C. Robardet; J-F. Boulicaut
Autori di Ateneo:
PENSA Ruggero Gaetano
Link alla scheda completa:
https://iris.unito.it/handle/2318/68054
Titolo del libro:
Foundations of Intelligent Systems. ISMIS 2006
Pubblicato in:
LECTURE NOTES IN COMPUTER SCIENCE
Journal
LECTURE NOTES IN COMPUTER SCIENCE
Series
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URL

https://link.springer.com/chapter/10.1007%2F11875604_49
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