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KDD
2001
ACM
181views Data Mining» more  KDD 2001»
16 years 4 months ago
Co-clustering documents and words using bipartite spectral graph partitioning
Both document clustering and word clustering are well studied problems. Most existing algorithms cluster documents and words separately but not simultaneously. In this paper we pr...
Inderjit S. Dhillon
ICIP
1997
IEEE
16 years 5 months ago
Surrounding Region Dependence Method for Detection of Clustered Microcalcifications on Mammograms
Clustered microcalcifications on X-ray mammograms are an important feature in the detection of breast cancer. For the detection of the clustered microcalcifications on digitized m...
Jong-Kook Kim, Hyun Wook Park
WETICE
2009
IEEE
15 years 10 months ago
Performance Evaluation of Grid-Enabled Code: A Case Study
—This paper presents the performance analysis of a grid-enabled MIP solver in a grid environment consisting of three clusters on a campus LAN. In particular, the paper focuses on...
Sonya Marcarelli, Emilio Pasquale Mancini, Umberto...
DAGSTUHL
2009
15 years 5 months ago
Median Topographic Maps for Biomedical Data Sets
Abstract. Median clustering extends popular neural data analysis methods such as the self-organizing map or neural gas to general data structures given by a dissimilarity matrix on...
Barbara Hammer, Alexander Hasenfuss, Fabrice Rossi
BMCBI
2010
94views more  BMCBI 2010»
15 years 4 months ago
A comparative study of conservation and variation scores
Background: Conservation and variation scores are used when evaluating sites in a multiple sequence alignment, in order to identify residues critical for structure or function. A ...
Fredrik Johansson, Hiroyuki Toh