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» Classes and clusters in data analysis
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WACV
2005
IEEE
15 years 3 months ago
Ensemble Methods in the Clustering of String Patterns
We address the problem of clustering of contour images from hardware tools based on string descriptions, in a comparative study of cluster combination techniques. Several clusteri...
André Lourenço, Ana L. N. Fred
ICPR
2008
IEEE
15 years 4 months ago
Beyond partitions: Allowing overlapping groups in pairwise clustering
The field of pairwise clustering is currently dominated by the idea of dividing a set of objects into disjoints classes, thereby giving rise to (hard) partitions of the input dat...
Andrea Torsello, Samuel Rota Bulò, Marcello...
EMMCVPR
2003
Springer
15 years 3 months ago
Watershed-Based Unsupervised Clustering
In this paper, a novel general purpose clustering algorithm is presented, based on the watershed algorithm. The proposed approach defines a density function on a suitable lattice,...
Manuele Bicego, Marco Cristani, Andrea Fusiello, V...
KDD
2003
ACM
124views Data Mining» more  KDD 2003»
15 years 10 months ago
Information-theoretic co-clustering
Two-dimensional contingency or co-occurrence tables arise frequently in important applications such as text, web-log and market-basket data analysis. A basic problem in contingenc...
Inderjit S. Dhillon, Subramanyam Mallela, Dharmend...
GFKL
2007
Springer
139views Data Mining» more  GFKL 2007»
15 years 4 months ago
The Noise Component in Model-based Cluster Analysis
The so-called noise-component has been introduced by Banfield and Raftery (1993) to improve the robustness of cluster analysis based on the normal mixture model. The idea is to ad...
Christian Hennig, Pietro Coretto