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» An objective approach to cluster validation
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SIGMOD
2002
ACM
154views Database» more  SIGMOD 2002»
14 years 6 months ago
Clustering Validity Checking Methods: Part II
Clustering results validation is an important topic in the context of pattern recognition. We review approaches and systems in this context. In the first part of this paper we pre...
Maria Halkidi, Yannis Batistakis, Michalis Vazirgi...
PKDD
2005
Springer
117views Data Mining» more  PKDD 2005»
13 years 11 months ago
A Bi-clustering Framework for Categorical Data
Bi-clustering is a promising conceptual clustering approach. Within categorical data, it provides a collection of (possibly overlapping) bi-clusters, i.e., linked clusters for both...
Ruggero G. Pensa, Céline Robardet, Jean-Fra...
ECML
2006
Springer
13 years 9 months ago
Efficient Prediction-Based Validation for Document Clustering
Recently, stability-based techniques have emerged as a very promising solution to the problem of cluster validation. An inherent drawback of these approaches is the computational c...
Derek Greene, Padraig Cunningham
DEXAW
2009
IEEE
173views Database» more  DEXAW 2009»
14 years 16 days ago
Automatic Cluster Number Selection Using a Split and Merge K-Means Approach
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
Markus Muhr, Michael Granitzer
KDD
1997
ACM
72views Data Mining» more  KDD 1997»
13 years 10 months ago
Detecting Atmospheric Regimes Using Cross-Validated Clustering
Low-frequency variability in geopotential height records of the Northern Hemisphere is a topic of significance in atmospheric science, having profound implications for climate mod...
Padhraic Smyth, Michael Ghil, Kayo Ide, Joseph Rod...