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» Using Library Dependencies for Clustering
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BIBE
2009
IEEE
131views Bioinformatics» more  BIBE 2009»
13 years 11 months ago
Learning Scaling Coefficient in Possibilistic Latent Variable Algorithm from Complex Diagnosis Data
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
Zong-Xian Yin
CVPR
2008
IEEE
14 years 10 months ago
Context-aware clustering
Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constrains into clustering results. Thi...
Junsong Yuan, Ying Wu
CAIP
2009
Springer
220views Image Analysis» more  CAIP 2009»
14 years 2 months ago
Rotation Invariant Texture Classification Using Binary Filter Response Pattern (BFRP)
Using statistical textons for texture classification has shown great success recently. The maximal response 8 (MR8) method, which extracts an 8-dimensional feature set from 38 filt...
Zhenhua Guo, Lei Zhang, David Zhang
ISCA
2003
IEEE
93views Hardware» more  ISCA 2003»
14 years 1 months ago
Improving Dynamic Cluster Assignment for Clustered Trace Cache Processors
This work examines dynamic cluster assignment for a clustered trace cache processor (CTCP). Previously proposed cluster assignment techniques run into unique problems as issue wid...
Ravi Bhargava, Lizy Kurian John
EUROPAR
2003
Springer
14 years 1 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...