985 search results - page 33 / 197 » An Experiment with Distance Measures for Clustering |
ISAAC
2009
Springer
15 years 4 months 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...
CVPR
2007
IEEE
15 years 11 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...
TJS
2010
14 years 8 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 ...
ESWA
2010
14 years 7 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...
CVPR
2006
IEEE
15 years 11 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...