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109
Voted
SDM
2009
SIAM
215views Data Mining» more  SDM 2009»
15 years 9 months ago
Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets.
To obtain correlated and complementary information contained in text mining and bibliometrics, hybrid clustering to incorporate textual content and citation information has become...
Bart De Moor, Frizo A. L. Janssens, Shi Yu, Wolfga...
ICDM
2005
IEEE
150views Data Mining» more  ICDM 2005»
15 years 6 months ago
Combining Multiple Clusterings by Soft Correspondence
Combining multiple clusterings arises in various important data mining scenarios. However, finding a consensus clustering from multiple clusterings is a challenging task because ...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
BMCBI
2004
181views more  BMCBI 2004»
15 years 11 days ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
82
Voted
MABS
1998
Springer
15 years 4 months ago
Dynamics of Internal and Global Structure through Linguistic Interactions
Abstract. Developmentof category structure in communicationis studied by a constructive approach. Individuals having a word relation matrix as their internal structure communicate ...
Takashi Hashimoto
AI
2009
Springer
15 years 7 months ago
An Ontology-Based Spatial Clustering Selection System
Spatial clustering, which groups similar spatial objects into classes, is an important research topic in spatial data mining. Many spatial clustering methods have been developed re...
Wei Gu, Xin Wang, Danielle Ziébelin