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» Algorithms for Clustering Data
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PRL
2006
207views more  PRL 2006»
13 years 8 months ago
On-line trajectory clustering for anomalous events detection
In this paper we propose a trajectory clustering algorithm suited for video surveillance systems. Trajectories are clustered on-line, as the data are collected, and clusters are o...
Claudio Piciarelli, Gian Luca Foresti
SDM
2003
SIAM
125views Data Mining» more  SDM 2003»
13 years 9 months ago
Scalable, Balanced Model-based Clustering
This paper presents a general framework for adapting any generative (model-based) clustering algorithm to provide balanced solutions, i.e., clusters of comparable sizes. Partition...
Shi Zhong, Joydeep Ghosh
SDM
2009
SIAM
220views Data Mining» more  SDM 2009»
14 years 5 months ago
Bayesian Cluster Ensembles.
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
Hongjun Wang, Hanhuai Shan, Arindam Banerjee
CVPR
2008
IEEE
14 years 10 months ago
Robust estimation of gaussian mixtures from noisy input data
We propose a variational bayes approach to the problem of robust estimation of gaussian mixtures from noisy input data. The proposed algorithm explicitly takes into account the un...
Shaobo Hou, Aphrodite Galata
ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
14 years 29 days ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan