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ICDM
2002
IEEE
152views Data Mining» more  ICDM 2002»
14 years 2 months ago
Concept Tree Based Clustering Visualization with Shaded Similarity Matrices
One of the problems with existing clustering methods is that the interpretation of clusters may be difficult. Two different approaches have been used to solve this problem: conce...
Jun Wang, Bei Yu, Les Gasser
CSMR
2004
IEEE
14 years 1 months ago
Architecture-Aware Adaptive Clustering of OO Systems
The recovery of software architecture is a first important step towards re-engineering a software system. Architecture recovery usually involves clustering. The problem with curre...
Markus Bauer, Mircea Trifu
ISCI
2008
116views more  ISCI 2008»
13 years 9 months ago
On the J-divergence of intuitionistic fuzzy sets with its application to pattern recognition
The importance of suitable distance measures between intuitionistic fuzzy sets (IFSs) arises because of the role they play in the inference problem. A concept closely related to o...
Wen-Liang Hung, Miin-Shen Yang
WSDM
2012
ACM
252views Data Mining» more  WSDM 2012»
12 years 5 months ago
WebSets: extracting sets of entities from the web using unsupervised information extraction
We describe a open-domain information extraction method for extracting concept-instance pairs from an HTML corpus. Most earlier approaches to this problem rely on combining cluste...
Bhavana Bharat Dalvi, William W. Cohen, Jamie Call...
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
13 years 11 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar