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» Entropy and Inference, Revisited
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KDD
2006
ACM
112views Data Mining» more  KDD 2006»
14 years 7 months ago
K-means clustering versus validation measures: a data distribution perspective
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
Hui Xiong, Junjie Wu, Jian Chen
KDD
2003
ACM
170views Data Mining» more  KDD 2003»
14 years 7 months ago
Efficient decision tree construction on streaming data
Decision tree construction is a well studied problem in data mining. Recently, there has been much interest in mining streaming data. Domingos and Hulten have presented a one-pass...
Ruoming Jin, Gagan Agrawal
TCBB
2008
115views more  TCBB 2008»
13 years 6 months ago
Highly Scalable Genotype Phasing by Entropy Minimization
A Single Nucleotide Polymorphism (SNP) is a position in the genome at which two or more of the possible four nucleotides occur in a large percentage of the population. SNPs accoun...
Alexander Gusev, Ion I. Mandoiu, Bogdan Pasaniuc
BMCBI
2008
176views more  BMCBI 2008»
13 years 6 months ago
H2r: Identification of evolutionary important residues by means of an entropy based analysis of multiple sequence alignments
Background: A multiple sequence alignment (MSA) generated for a protein can be used to characterise residues by means of a statistical analysis of single columns. In addition to t...
Rainer Merkl, Matthias Zwick
IAT
2007
IEEE
14 years 1 months ago
Revisiting ADOPT-ing and its Feedback Schemes
Here we revisit ADOPT-ing and bring two new contributions. One contribution consists of developing variations on the algorithms keeping the improvement in length of chain of causa...
Marius-Calin Silaghi, Makoto Yokoo