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RSKT
2009
Springer
16 years 28 days 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 11 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 8 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
HIS
2004
15 years 7 months ago
A Fuzzy Clustering Algorithm using Cellular Learning Automata based Evolutionary Algorithm
In this paper, a new fuzzy clustering algorithm that uses cellular learning automata based evolutionary computing (CLA-EC) is proposed. The CLA-EC is a model obtained by combining...
Reza Rastegar, A. R. Arasteh, Arash Hariri, Mohamm...
ICCV
2001
IEEE
16 years 8 months ago
Image Segmentation by Data Driven Markov Chain Monte Carlo
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
Zhuowen Tu, Song Chun Zhu, Heung-Yeung Shum