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» Measuring Similarity between Sets of Overlapping Clusters
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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 10 months ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
14 years 10 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
CSIE
2009
IEEE
14 years 5 months ago
Evaluating Clustering Algorithms: Cluster Quality and Feature Selection in Content-Based Image Clustering
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
Mesfin Sileshi, Björn Gambäck
IWVF
2001
Springer
14 years 2 months ago
A Skeletal Measure of 2D Shape Similarity
This paper presents a geometric measure that can be used to gauge the similarity of 2D shapes by comparing their skeletons. The measure is defined to be the rate of change of bou...
Andrea Torsello, Edwin R. Hancock
ICPR
2008
IEEE
14 years 4 months ago
Dunn's cluster validity index as a contrast measure of VAT images
This paper addresses the relationship between the Visual Assessment of cluster Tendency (VAT) algorithm and Dunn’s cluster validity index. We present an analytical comparison in...
Timothy C. Havens, James C. Bezdek, James M. Kelle...