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» Approximation Algorithms for Tensor Clustering
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BMCBI
2007
237views more  BMCBI 2007»
13 years 8 months ago
FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data
Background: Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarrays. To this aim, existing cluster...
Limin Fu, Enzo Medico
DASFAA
2003
IEEE
151views Database» more  DASFAA 2003»
14 years 1 months ago
Approximate String Matching in DNA Sequences
Approximate string matching on large DNA sequences data is very important in bioinformatics. Some studies have shown that suffix tree is an efficient data structure for approxim...
Lok-Lam Cheng, David Wai-Lok Cheung, Siu-Ming Yiu
SDM
2003
SIAM
183views Data Mining» more  SDM 2003»
13 years 9 months ago
ApproxMAP: Approximate Mining of Consensus Sequential Patterns
Conventional sequential pattern mining methods may meet inherent difficulties in mining databases with long sequences and noise. They may generate a huge number of short and trivi...
Hye-Chung Kum, Jian Pei, Wei Wang 0010, Dean Dunca...
SODA
1998
ACM
106views Algorithms» more  SODA 1998»
13 years 9 months ago
Greedy Strikes Back: Improved Facility Location Algorithms
A fundamental facility location problem is to choose the location of facilities, such as industrial plants and warehouses, to minimize the cost of satisfying the demand for some c...
Sudipto Guha, Samir Khuller
NIPS
2007
13 years 9 months ago
Convex Clustering with Exemplar-Based Models
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
Danial Lashkari, Polina Golland