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BMCBI
2005
253views more  BMCBI 2005»
13 years 9 months ago
The Use of Edge-Betweenness Clustering to Investigate Biological Function in Protein Interaction Networks
Background: This paper describes an automated method for finding clusters of interconnected proteins in protein interaction networks and retrieving protein annotations associated ...
Ruth Dunn, Frank Dudbridge, Christopher M. Sanders...
DATAMINE
2006
224views more  DATAMINE 2006»
13 years 10 months ago
Characteristic-Based Clustering for Time Series Data
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman
APWEB
2009
Springer
13 years 7 months ago
Core-Tag Clustering for Web 2.0 Based on Multi-similarity Measurements
Along with the development of Web2.0, folksonomy has become a hot topic related to data mining, information retrieval and social network. The tag semantic is the key for deep under...
Yexi Jiang, Changjie Tang, Kaikuo Xu, Lei Duan, Li...
PODS
2005
ACM
115views Database» more  PODS 2005»
14 years 10 months ago
A divide-and-merge methodology for clustering
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...
TMC
2008
210views more  TMC 2008»
13 years 9 months ago
Adaptive Cluster-Based Data Collection in Sensor Networks with Direct Sink Access
Recently wireless sensor networks featuring direct sink access have been studied as an efficient architecture to gather and process data for numerous applications. In this paper, w...
Mahdi Lotfinezhad, Ben Liang, Elvino S. Sousa