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» Adaptive Clustering Ensembles
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SDM
2009
SIAM
215views Data Mining» more  SDM 2009»
14 years 2 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...
GFKL
2004
Springer
117views Data Mining» more  GFKL 2004»
13 years 10 months ago
Cluster Ensembles
Cluster ensembles are collections of individual solutions to a given clustering problem which are useful or necessary to consider in a wide range of applications. The R package˜c...
Kurt Hornik
IJCNN
2006
IEEE
13 years 11 months ago
Oscillatory Network for Synchronization-Based Adaptive Image Segmentation
— Oscillatory network model with controllable oscillator dynamics and self-organized dynamical coupling has been created for synchronization-based image processing. The model was...
Eugene Grichuk, Margarita Kuzmina, Edward A. Manyk...
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 6 months ago
Cluster Ensemble Selection
This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
Xiaoli Z. Fern, Wei Lin
KBS
2006
150views more  KBS 2006»
13 years 5 months ago
Clusterer ensemble
Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
Zhi-Hua Zhou, Wei Tang