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» Robust information-theoretic clustering
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PRIS
2004
14 years 11 months ago
Comparison of Combination Methods using Spectral Clustering Ensembles
We address the problem of the combination of multiple data partitions, that we call a clustering ensemble. We use a recent clustering approach, known as Spectral Clustering, and th...
André Lourenço, Ana L. N. Fred
KDD
2008
ACM
119views Data Mining» more  KDD 2008»
15 years 10 months ago
SAIL: summation-based incremental learning for information-theoretic clustering
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
Junjie Wu, Hui Xiong, Jian Chen
ECAL
2007
Springer
15 years 3 months ago
Neutral Emergence and Coarse Graining
We introduce the concept of neutral emergence (defined by analogy to an information theoretic view of neutral evolution), and discuss how it might be used in the engineering of ro...
Andrew Weeks, Susan Stepney, Fiona Polack
BMCBI
2007
207views more  BMCBI 2007»
14 years 9 months ago
Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering
Background: Many important high throughput projects use in situ hybridization and may require the analysis of images of spatial cross sections of organisms taken with cellular lev...
Manjunatha Jagalur, Chris Pal, Erik G. Learned-Mil...
PR
2008
116views more  PR 2008»
14 years 9 months ago
Robust path-based spectral clustering
Spectral clustering and path-based clustering are two recently developed clustering approaches that have delivered impressive results in a number of challenging clustering tasks. ...
Hong Chang, Dit-Yan Yeung