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» Algorithms for Clustering Data
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CVPR
2009
IEEE
17 years 22 hour ago
Intrinsic Mean Shift for Clustering on Stiefel and Grassmann Manifolds
The mean shift algorithm, which is a nonparametric density estimator for detecting the modes of a distribution on a Euclidean space, was recently extended to operate on analytic ...
Hasan Ertan Çetingül, René Vida...
145
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SAC
2005
ACM
15 years 10 months ago
The role of visualization in effective data cleaning
Using visualization techniques to assist conventional data mining tasks has attracted considerable interest in recent years. This paper addresses a challenging issue in the use of...
Yu Qian, Kang Zhang
COMAD
2009
15 years 6 months ago
Graph Clustering for Keyword Search
Keyword search on data represented as graphs, is receiving lot of attention in recent years. Initial versions of keyword search systems assumed that the graph is memory resident. ...
Rose Catherine K., S. Sudarshan
WADS
2009
Springer
256views Algorithms» more  WADS 2009»
15 years 11 months ago
Dynamic Graph Clustering Using Minimum-Cut Trees
Abstract. Algorithms or target functions for graph clustering rarely admit quality guarantees or optimal results in general. Based on properties of minimum-cut trees, a clustering ...
Robert Görke, Tanja Hartmann, Dorothea Wagner
PR
2006
127views more  PR 2006»
15 years 4 months ago
Unsupervised possibilistic clustering
In fuzzy clustering, the fuzzy c-means (FCM) clustering algorithm is the best known and used method. Since the FCM memberships do not always explain the degrees of belonging for t...
Miin-Shen Yang, Kuo-Lung Wu