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» A Customizable Hybrid Approach to Data Clustering
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ICDM
2009
IEEE
171views Data Mining» more  ICDM 2009»
14 years 7 months ago
Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis
We propose a hybrid clustering strategy by integrating heterogeneous information sources as graphs. The hybrid clustering method is extended on the basis of modularity based Louva...
Xinhai Liu, Shi Yu, Yves Moreau, Frizo A. L. Janss...
SAC
2005
ACM
15 years 3 months ago
A hybrid approach for multiresolution modeling of large-scale scientific data
Simulations of complex scientific phenomena involve the execution of massively parallel computer programs. These simulation programs generate large-scale multidimensional data set...
Tina Eliassi-Rad, Terence Critchlow
HAIS
2010
Springer
14 years 9 months ago
A Hybrid Cluster-Lift Method for the Analysis of Research Activities
A hybrid of two novel methods - additive fuzzy spectral clustering and lifting method over a taxonomy - is applied to analyse the research activities of a department. To be specifi...
Boris Mirkin, Susana Nascimento, Trevor I. Fenner,...
SDM
2009
SIAM
162views Data Mining» more  SDM 2009»
15 years 6 months ago
Diversity-Based Weighting Schemes for Clustering Ensembles.
Clustering ensembles has been recently recognized as an emerging approach to provide more robust solutions to the data clustering problem. Current methods of clustering ensembles ...
Andrea Tagarelli, Francesco Gullo, Sergio Greco
DATE
2005
IEEE
125views Hardware» more  DATE 2005»
15 years 3 months ago
Hybrid BIST Based on Repeating Sequences and Cluster Analysis
We present a hybrid BIST approach that extracts the most frequently occurring sequences from deterministic test patterns; these extracted sequences are stored on-chip. We use clus...
Lei Li, Krishnendu Chakrabarty