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KDD
2004
ACM
132views Data Mining» more  KDD 2004»
16 years 1 months ago
A probabilistic framework for semi-supervised clustering
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
BMCBI
2008
132views more  BMCBI 2008»
15 years 1 months ago
SCOWLP classification: Structural comparison and analysis of protein binding regions
Background: Detailed information about protein interactions is critical for our understanding of the principles governing protein recognition mechanisms. The structures of many pr...
Joan Teyra, Maciej Paszkowski-Rogacz, Gerd Anders,...
JDCTA
2010
130views more  JDCTA 2010»
14 years 8 months ago
A Search Algorithm for Clusters in a Network or Graph
A novel breadth-first based structural clustering method for graphs is proposed. Clustering is an important task for analyzing complex networks such as biological networks, World ...
Dongming Chen, Jing Wang, Xiaodong Chen, Xiaowei X...
CHI
2004
ACM
15 years 6 months ago
TNT: a numeric keypad based text input method
With the evolving functionality in television-based (TVbased) information and entertainment appliances, there is an increased need to enable users input text through remote contro...
Magnus Ingmarsson, David Dinka, Shumin Zhai
SEKE
2010
Springer
14 years 12 months ago
Incremental Construction of Topic Hierarchies using Hierarchical Term Clustering
Topic hierarchies are very useful for managing, searching and browsing large repositories of text documents. The hierarchical clustering methods are used to support the constructi...
Ricardo M. Marcacini, Solange O. Rezende