5733 search results - page 89 / 1147 » Clustering Categorical Data |
ALT
2009
Springer
14 years 7 months ago
2009
Springer
Motivated by the principle of agnostic learning, we present an extension of the model introduced by Balcan, Blum, and Gupta [3] on computing low-error clusterings. The extended mod...
ICDM
2002
IEEE
14 years 3 months ago
2002
IEEE
One of the problems with existing clustering methods is that the interpretation of clusters may be difficult. Two different approaches have been used to solve this problem: conce...
FLAIRS
2004
13 years 11 months ago
2004
Clustering is a form of unsupervised machine learning. In this paper, we proposed the DBRS_O method to identify clusters in the presence of intersected obstacles. Without doing an...
BMCBI
2010
13 years 10 months ago
2010
Background: MicroRNAs (miRNAs) are a class of important gene regulators. The number of identified miRNAs has been increasing dramatically in recent years. An emerging major challe...
SNPD
2010
13 years 11 months ago
2010
Abstract--A method for explaining results of a regressionbased classifier is proposed. The data is clustered using a metric extracted from the classifier. This way, clusters found ...