3112 search results - page 100 / 623 » Cluster Computing White Paper |
119
Voted
ICCS
2005
Springer
15 years 9 months ago
2005
Springer
Existing methods for time series clustering rely on the actual data values can become impractical since the methods do not easily handle dataset with high dimensionality, missing v...
141
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ICIC
2005
Springer
15 years 9 months ago
2005
Springer
This paper proposes two methods which take advantage of k -mean clustering algorithm to decrease the number of support vectors (SVs) for the training of support vector machine (SVM...
115
Voted
ICDM
2003
IEEE
15 years 8 months ago
2003
IEEE
A novel approach to clustering co-occurrence data poses it as an optimization problem in information theory which minimizes the resulting loss in mutual information. A divisive cl...
139
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EMMCVPR
2003
Springer
15 years 8 months ago
2003
Springer
In this paper, a novel general purpose clustering algorithm is presented, based on the watershed algorithm. The proposed approach defines a density function on a suitable lattice,...
136
Voted
ICPR
2000
IEEE
15 years 7 months ago
2000
IEEE
Fuzzy C-means (FCM) clustering is an unsupervised clustering technique and is often used for the unsupervised segmentation of multivariate images. The segmentation of the image in...