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» Identifying Clusters from Positive Data
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BMCBI
2008
259views more  BMCBI 2008»
14 years 9 months ago
DISCLOSE : DISsection of CLusters Obtained by SEries of transcriptome data using functional annotations and putative transcripti
Background: A typical step in the analysis of gene expression data is the determination of clusters of genes that exhibit similar expression patterns. Researchers are confronted w...
Evert-Jan Blom, Sacha A. F. T. van Hijum, Klaas J....
DIS
2005
Springer
15 years 3 months ago
Active Constrained Clustering by Examining Spectral Eigenvectors
Abstract. This work focuses on the active selection of pairwise constraints for spectral clustering. We develop and analyze a technique for Active Constrained Clustering by Examini...
Qianjun Xu, Marie desJardins, Kiri Wagstaff
GAMEON
2009
14 years 7 months ago
Analysis of User Trajectories Based on Data Distribution and State Transition: a Case Study with a Massively Multiplayer Online
At present, trajectory data, series of coordinate data traversed by moving objects, can be readily obtained due to the advent of positioning technologies. Clustering of trajectori...
Ruck Thawonmas, Junichi Oda, Kuan-Ta Chen
CSE
2009
IEEE
15 years 2 months ago
Self-Organized Data-Energy-Aware Clustering and Routing for Wireless Sensor Networks
—In this paper we propose a clustering and routing scheme for wireless sensor networks based on a self-organizing approach. The aim of this approach is for nodes to perform an in...
Ehssan Sakhaee, Naoki Wakamiya, Masayuki Murata
83
Voted
CIDM
2009
IEEE
15 years 2 months ago
An architecture and algorithms for multi-run clustering
—This paper addresses two main challenges for clustering which require extensive human effort: selecting appropriate parameters for an arbitrary clustering algorithm and identify...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Vadee...