5829 search results - page 260 / 1166 » The Practice of Cluster Analysis |
148
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ICASSP
2009
IEEE
16 years 1 months ago
2009
IEEE
K-Means is a clustering algorithm that is widely applied in many elds, including pattern classi cation and multimedia analysis. Due to real-time requirements and computational-cos...
139
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SIGIR
2009
ACM
16 years 1 months ago
2009
ACM
This paper describes a simple clustering approach to person name disambiguation of retrieved documents. The methods are based on standard IR concepts and do not require any task-s...
172
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ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
This paper presents a new algorithm named Kernel Bisecting k-means and Sample Removal (KBK-SR) as a sampling preprocessing for SVM training to improve the scalability. The novel c...
173
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MICCAI
2005
Springer
16 years 4 days ago
2005
Springer
Abstract. Image segmentation algorithms derived from spectral clustering analysis rely on the eigenvectors of the Laplacian of a weighted graph obtained from the image. The NCut cr...
184
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GFKL
2004
Springer
16 years 1 days ago
2004
Springer
Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...