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» Robust information-theoretic clustering
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BPM
2007
Springer
130views Business» more  BPM 2007»
15 years 4 months ago
Process Mining Based on Clustering: A Quest for Precision
Process mining techniques attempt to extract non-trivial and useful information from event logs recorded by information systems. For example, there are many process mining techniqu...
Ana Karla Alves de Medeiros, Antonella Guzzo, Gian...
CIS
2008
Springer
14 years 11 months ago
Cooperation Controlled Competitive Learning Approach for Data Clustering
Rival Penalized Competitive Learning (RPCL) and its variants can perform clustering analysis efficiently with the ability of selecting the cluster number automatically. Although t...
Tao Li, Wenjiang Pei, Shao-ping Wang, Yiu-ming Che...
NIPS
2004
14 years 11 months ago
Proximity Graphs for Clustering and Manifold Learning
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
Miguel Á. Carreira-Perpiñán, ...
IJCV
2008
157views more  IJCV 2008»
14 years 9 months ago
Pairwise Matching of 3D Fragments Using Cluster Trees
Abstract We propose a novel and efficient surface matching approach for reassembling broken solids as well as for matching assembly components using cluster trees of oriented point...
Simon Winkelbach, Friedrich M. Wahl
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
15 years 10 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...