20 search results - page 3 / 4 » HACS: Heuristic Algorithm for Clustering Subsets |
JBI
2004
13 years 8 months ago
2004
Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus s...
WAIM
2009
Springer
14 years 2 months ago
2009
Springer
Finding linear correlations in dataset is an important data mining task, which can be widely applied in the real world. Existing correlation clustering methods combine clustering w...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
Given a data matrix, the problem of finding dense/uniform sub-blocks in the matrix is becoming important in several applications. The problem is inherently combinatorial since th...
ALMOB
2006
13 years 7 months ago
2006
Given a set S of n locally aligned sequences, it is a needed prerequisite to partition it into groups of very similar sequences to facilitate subsequent computations, such as the ...
ICDE
2008
IEEE
14 years 8 months ago
2008
IEEE
Finding latent patterns in high dimensional data is an important research problem with numerous applications. Existing approaches can be summarized into 3 categories: feature selec...