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» The Method of Quantum Clustering
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BIBE
2004
IEEE
107views Bioinformatics» more  BIBE 2004»
15 years 5 months ago
Enhanced pClustering and Its Applications to Gene Expression Data
Clustering has been one of the most popular methods to discover useful biological insights from DNA microarray. An interesting paradigm is simultaneous clustering of both genes an...
Sungroh Yoon, Christine Nardini, Luca Benini, Giov...
CSB
2004
IEEE
136views Bioinformatics» more  CSB 2004»
15 years 5 months ago
Minimum Entropy Clustering and Applications to Gene Expression Analysis
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
Haifeng Li, Keshu Zhang, Tao Jiang
SDM
2003
SIAM
134views Data Mining» more  SDM 2003»
15 years 2 months ago
Hierarchical Document Clustering using Frequent Itemsets
A major challenge in document clustering is the extremely high dimensionality. For example, the vocabulary for a document set can easily be thousands of words. On the other hand, ...
Benjamin C. M. Fung, Ke Wang, Martin Ester
HAIS
2008
Springer
15 years 2 months ago
Clustering Likelihood Curves: Finding Deviations from Single Clusters
For systematic analyses of quantitative mass spectrometry data a method was developed in order to reveal peptides within a protein, that show differences in comparison with the rem...
Claudia Hundertmark, Frank Klawonn
ICDAR
2011
IEEE
14 years 1 months ago
A Chinese Character Localization Method Based on Intergrating Structure and CC-Clustering for Advertising Images
—In this paper, a novel Chinese character localization method is proposed for texts in advertising images. To deal with the texts with gradient color, a color clustering method b...
Jie Liu, Shuwu Zhang, Heping Li, Wei Liang