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BMCBI
2011
13 years 2 months ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
SAC
2006
ACM
14 years 1 months ago
Grouping and aggregation in the concept-oriented data model
In the paper we describe the problem of grouping and aggregation in the concept-oriented data model. The model is based on ordering its elements within a hierarchical multidimensi...
Alexandr A. Savinov
ICCV
2003
IEEE
14 years 9 months ago
Dominant Sets and Hierarchical Clustering
Dominant sets are a new graph-theoretic concept that has proven to be relevant in partitional (flat) clustering as well as image segmentation problems. However, in many computer v...
Massimiliano Pavan, Marcello Pelillo
BMCBI
2004
158views more  BMCBI 2004»
13 years 7 months ago
Incremental genetic K-means algorithm and its application in gene expression data analysis
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...
TC
2008
13 years 7 months ago
Exploiting In-Memory and On-Disk Redundancy to Conserve Energy in Storage Systems
Abstract--Today's storage systems place an imperative demand on energy efficiency. A storage system often places single-rotationrate disks into standby mode by stopping them f...
Jun Wang, Xiaoyu Yao, Huijun Zhu