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ICML
2004
IEEE
16 years 4 months ago
Solving cluster ensemble problems by bipartite graph partitioning
A critical problem in cluster ensemble research is how to combine multiple clusterings to yield a final superior clustering result. Leveraging advanced graph partitioning techniqu...
Xiaoli Zhang Fern, Carla E. Brodley
STACS
2010
Springer
15 years 11 months ago
Online Correlation Clustering
We study the online clustering problem where data items arrive in an online fashion. The algorithm maintains a clustering of data items into similarity classes. Upon arrival of v, ...
Claire Mathieu, Ocan Sankur, Warren Schudy
BCB
2010
213views Bioinformatics» more  BCB 2010»
14 years 11 months ago
Markov clustering of protein interaction networks with improved balance and scalability
Markov Clustering (MCL) is a popular algorithm for clustering networks in bioinformatics such as protein-protein interaction networks and protein similarity networks. An important...
Venu Satuluri, Srinivasan Parthasarathy, Duygu Uca...
CVPR
1998
IEEE
16 years 6 months ago
Clustering Appearances of 3D Objects
We introduce a method for unsupervised clustering of images of 3D objects. Our method examines the space of all images and partitions the images into sets that form smooth and par...
Ronen Basri, Dan Roth, David W. Jacobs
ICIP
2008
IEEE
16 years 5 months ago
Motion segmentation and abnormal behavior detection via behavior clustering
We consider a change detection problem in video surveillance applications and propose busy-idle rates, meaningful and easy to compute features, to characterize the behavior profil...
Erhan Baki Ermis, Venkatesh Saligrama, Pierre-Marc...