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ICML
2005
IEEE
16 years 5 months ago
Semi-supervised graph clustering: a kernel approach
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Ray...
WACV
2005
IEEE
15 years 10 months ago
Ensemble Methods in the Clustering of String Patterns
We address the problem of clustering of contour images from hardware tools based on string descriptions, in a comparative study of cluster combination techniques. Several clusteri...
André Lourenço, Ana L. N. Fred
AUSAI
2007
Springer
15 years 11 months ago
DBSC: A Dependency-Based Subspace Clustering Algorithm for High Dimensional Numerical Datasets
Abstract. We present a novel algorithm called DBSC, which finds subspace clusters in numerical datasets based on the concept of ”dependency”. This algorithm employs a depth-...
Xufei Wang, Chunping Li
EUROPAR
2003
Springer
15 years 10 months ago
A Parallel Algorithm for Incremental Compact Clustering
In this paper we propose a new parallel clustering algorithm based on the incremental construction of the compact sets of a collection of objects. This parallel algorithm is portab...
Reynaldo Gil-García, José Manuel Bad...
146
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JDCTA
2010
134views more  JDCTA 2010»
14 years 11 months ago
A New Clustering Segmentation Algorithm of 3D Medical Data Field Based on Data Mining
Direct 3D volume segmentation is one of the difficult and hot research fields in 3D medical data field processing. Using the clustering and analyzing techniques of data mining, a ...
Li Xinwu