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» An overview of clustering methods
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EPIA
2011
Springer
12 years 8 months ago
Thematic Fuzzy Clusters with an Additive Spectral Approach
This paper introduces an additive fuzzy clustering model for similarity data as oriented towards representation and visualization of activities of research organizations in a hiera...
Susana Nascimento, Rui Felizardo, Boris Mirkin
CVPR
2011
IEEE
13 years 17 days ago
Max-margin Clustering: Detecting Margins from Projections of Points on Lines
Given a unlabelled set of points X ∈ RN belonging to k groups, we propose a method to identify cluster assignments that provides maximum separating margin among the clusters. We...
Raghuraman Gopalan, Jagan Sankaranarayanan
ICML
2009
IEEE
14 years 9 months ago
Multi-assignment clustering for Boolean data
Conventional clustering methods typically assume that each data item belongs to a single cluster. This assumption does not hold in general. In order to overcome this limitation, w...
Andreas P. Streich, Mario Frank, David A. Basin, J...
CIKM
2009
Springer
14 years 3 months ago
Fragment-based clustering ensembles
Clustering ensembles combine different clustering solutions into a single robust and stable one. Most of existing methods become highly time-consuming when the data size turns to ...
Ou Wu, Mingliang Zhu, Weiming Hu
JOT
2010
153views more  JOT 2010»
13 years 7 months ago
Identification of System Software Components Using Clustering Approach
The selection of software architecture style is an important decision of design stage, and has a significant impact on various system quality attributes. To determine software arc...
Gholamreza Shahmohammadi, Saeed Jalili, Seyed Moha...