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» An overview of clustering methods
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KDD
2009
ACM
206views Data Mining» more  KDD 2009»
16 years 7 months ago
Ranking-based clustering of heterogeneous information networks with star network schema
A heterogeneous information network is an information network composed of multiple types of objects. Clustering on such a network may lead to better understanding of both hidden s...
Yizhou Sun, Yintao Yu, Jiawei Han
CCGRID
2001
IEEE
15 years 10 months ago
Cluster Computing in the Classroom: Topics, Guidelines, and Experiences
- With the progress of research on cluster computing, more and more universities have begun to offer various courses covering cluster computing. A wide variety of content can be ta...
Amy W. Apon, Rajkumar Buyya, Hai Jin, Jens Mache
BMCBI
2006
134views more  BMCBI 2006»
15 years 6 months ago
An approach for clustering gene expression data with error information
Background: Clustering of gene expression patterns is a well-studied technique for elucidating trends across large numbers of transcripts and for identifying likely co-regulated g...
Brian Tjaden
BMCBI
2006
136views more  BMCBI 2006»
15 years 6 months ago
Metric for Measuring the Effectiveness of Clustering of DNA Microarray Expression
Background: The recent advancement of microarray technology with lower noise and better affordability makes it possible to determine expression of several thousand genes simultane...
Raja Loganantharaj, Satish Cheepala, John Clifford
ICPR
2006
IEEE
16 years 8 months ago
Clustering-based multispectral band selection using mutual information
This work presents the application of a novel technique on dimensionality reduction to deal with multispectral images. A distance based on mutual information is used to construct ...
Adolfo Martínez Usó, Filiberto Pla, ...