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ICPR
2008
IEEE
15 years 3 months ago
Combining hierarchical clusterings using min-transitive closure
In the past, clusterings combination approaches are based on “flat” clustering algorithms, i.e. algorithms that operate on non-hierarchical clustering schemes. These approache...
Abdolreza Mirzaei, Mohammad Rahmati
BPM
2009
Springer
175views Business» more  BPM 2009»
15 years 4 months ago
Understanding Spaghetti Models with Sequence Clustering for ProM
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
Gabriel M. Veiga, Diogo R. Ferreira
FLAIRS
2001
14 years 10 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»
15 years 1 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
CVPR
2001
IEEE
15 years 11 months ago
Clustering Art
We extend a recently developed method [1] for learning the semantics of image databases using text and pictures. We incorporate statistical natural language processing in order to...
Kobus Barnard, Pinar Duygulu, David A. Forsyth