903 search results - page 40 / 181 » Using Library Dependencies for Clustering |
PAKDD
2001
ACM
14 years 14 days ago
2001
ACM
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
BIBE
2004
IEEE
13 years 11 months ago
2004
IEEE
In microarray gene expression data, clusters may hide in subspaces. Traditional clustering algorithms that make use of similarity measurements in the full input space may fail to ...
BMCBI
2008
13 years 8 months ago
2008
Background: Inferring cluster structure in microarray datasets is a fundamental task for the so-called -omic sciences. It is also a fundamental question in Statistics, Data Analys...
BIRTHDAY
2010
Springer
13 years 11 months ago
2010
Springer
The present paper analyzes the usefulness of the normalized compression distance for the problem to cluster the hemagglutinin (HA) sequences of influenza virus data for the HA gene...
TNN
2010
13 years 2 months ago
2010
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...