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RSKT
2009
Springer
15 years 10 months ago
Mechanisms of Partial Supervision in Rough Clustering Approaches
We bring two rough-set-based clustering algorithms into the framework of partially supervised clustering. A mechanism of partial supervision relying on either qualitative or quanti...
Rafael Falcón, Gwanggil Jeon, Kangjun Lee, ...
CSE
2009
IEEE
15 years 9 months ago
Investigating Bimodal Clustering in Human Mobility
—We apply a simple clustering algorithm to a large dataset of cellular telecommunication records, reducing the complexity of mobile phone users’ full trajectories and allowing ...
James P. Bagrow, Tal Koren
DAGM
2008
Springer
15 years 6 months ago
Boosting for Model-Based Data Clustering
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
Amir Saffari, Horst Bischof
KBS
2006
150views more  KBS 2006»
15 years 4 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
IJIS
2007
155views more  IJIS 2007»
15 years 4 months ago
Clustering web search results using fuzzy ants
Algorithms for clustering web search results have to be efficient and robust. Furthermore they must be able to cluster a dataset without using any kind of a priori information, s...
Steven Schockaert, Martine De Cock, Chris Cornelis...