985 search results - page 33 / 197 » An Experiment with Distance Measures for Clustering |
168
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ISAAC
2009
Springer
16 years 20 days ago
2009
Springer
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
160
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
This paper deals with region-of-interest (ROI) tracking in video sequences. The goal is to determine in successive frames the region which best matches, in terms of a similarity m...
174
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TJS
2010
15 years 4 months ago
2010
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
136
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ESWA
2010
15 years 3 months ago
2010
1 In this study, a novel robust clustering algorithm, robust interval competitive agglomeration (RICA) clustering algorithm, is proposed to overcome the problems of the outliers, t...
148
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CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
In this paper we propose diffusion distance, a new dissimilarity measure between histogram-based descriptors. We define the difference between two histograms to be a temperature f...