Sciweavers

5096 search results - page 117 / 1020
» Landscape of Clustering Algorithms
Sort
View
CVPR
1997
IEEE
16 years 6 months ago
Tracking non-rigid, moving objects based on color cluster flow
In this contribution we present an algorithm for tracking non-rigid, moving objects in a sequence of colored images, which were recorded by a non-stationary camera. The applicatio...
Bernd Heisele, Ulrich Kressel, W. Ritter
INCDM
2007
Springer
97views Data Mining» more  INCDM 2007»
15 years 10 months ago
Clustering by Random Projections
Abstract. Clustering algorithms for multidimensional numerical data must overcome special difficulties due to the irregularities of data distribution. We present a clustering algo...
Thierry Urruty, Chabane Djeraba, Dan A. Simovici
BIBE
2004
IEEE
120views Bioinformatics» more  BIBE 2004»
15 years 8 months ago
Identifying Projected Clusters from Gene Expression Profiles
In microarray gene expression data, clusters may hide in subspaces. Traditional clustering algorithms that make use of similarity measurements in the full input space may fail to ...
Kevin Y. Yip, David W. Cheung, Michael K. Ng, Kei-...
SDM
2003
SIAM
125views Data Mining» more  SDM 2003»
15 years 6 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
ICDM
2009
IEEE
175views Data Mining» more  ICDM 2009»
15 years 2 months ago
Maximum Margin Clustering with Multivariate Loss Function
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
Bin Zhao, James Tin-Yau Kwok, Changshui Zhang