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» Robust Hierarchical Clustering
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FLAIRS
2001
13 years 9 months ago
Hierarchical Representatives Clustering with Hybrid Approach
Clustering is a discoveringprocess of meaningfulintbrmationby groupingsimilar data into compactclusters. Mostof traditional clustering methodsare in favor of small datasets andhav...
Byung-Joo An, Eunju Kim, Yillbyung Lee
KDD
1995
ACM
98views Data Mining» more  KDD 1995»
13 years 11 months ago
Optimization and Simplification of Hierarchical Clusterings
Clustering is often used to discover structure in data. Clustering systems differ in the objective function used to evaluate clustering quality and the control strategy used to se...
Douglas Fisher
PKDD
2010
Springer
177views Data Mining» more  PKDD 2010»
13 years 6 months ago
ITCH: Information-Theoretic Cluster Hierarchies
Hierarchical clustering methods are widely used in various scientific domains such as molecular biology, medicine, economy, etc. Despite the maturity of the research field of hie...
Christian Böhm, Frank Fiedler, Annahita Oswal...
PRL
2007
146views more  PRL 2007»
13 years 7 months ago
Neighbor number, valley seeking and clustering
This paper proposes a novel nonparametric clustering algorithm capable of identifying shape-free clusters. This algorithm is based on a nonparametric estimation of the normalized ...
Chaolin Zhang, Xuegong Zhang, Michael Q. Zhang, Ya...
PKDD
2001
Springer
114views Data Mining» more  PKDD 2001»
13 years 12 months ago
A Study on the Hierarchical Data Clustering Algorithm Based on Gravity Theory
This paper discusses the clustering quality and complexities of the hierarchical data clustering algorithm based on gravity theory. The gravitybased clustering algorithm simulates ...
Yen-Jen Oyang, Chien-Yu Chen, Tsui-Wei Yang