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» Algorithms for Finding Gene Clusters
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TKDE
2002
168views more  TKDE 2002»
15 years 3 months ago
CLARANS: A Method for Clustering Objects for Spatial Data Mining
Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. To this end, this paper has three main contrib...
Raymond T. Ng, Jiawei Han
110
Voted
ICPR
2010
IEEE
15 years 1 months ago
Performance Evaluation of Automatic Feature Discovery Focused within Error Clusters
We report performance evaluation of our automatic feature discovery method on the publicly available Gisette dataset: a set of 29 features discovered by our method ranks 129 among...
Sui-Yu Wang, Henry S. Baird
BMCBI
2005
84views more  BMCBI 2005»
15 years 3 months ago
Information theory-based algorithm for in silico prediction of PCR products with whole genomic sequences as templates
Background: A new algorithm for assessing similarity between primer and template has been developed based on the hypothesis that annealing of primer to template is an information ...
Youfang Cao, Lianjie Wang, Kexue Xu, Chunhai Kou, ...
CVPR
2003
IEEE
16 years 5 months ago
Clustering Appearances of Objects Under Varying Illumination Conditions
We introduce two appearance-based methods for clustering a set of images of 3-D objects, acquired under varying illumination conditions, into disjoint subsets corresponding to ind...
Jeffrey Ho, Ming-Hsuan Yang, Jongwoo Lim, Kuang-Ch...
PAKDD
2007
ACM
152views Data Mining» more  PAKDD 2007»
15 years 9 months ago
Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA)
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
Wenxin Yang, Junping Zhang