149 search results - page 5 / 30 » Unsupervised clustering using hyperclique pattern constraint... |
107
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MCS
2010
Springer
15 years 6 months ago
2010
Springer
One of the challenges in unsupervised machine learning is finding the number of clusters in a dataset. Clustering Validity Indices (CVI) are popular tools used to address this pro...
CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constrains into clustering results. Thi...
102
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ICIP
2003
IEEE
16 years 1 months ago
2003
IEEE
In this paper we present a multi-scale morphological method for use in texture classification. A connected operator similar to the morphological hat-transform is defined, and two ...
PRIB
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
90
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WACV
2005
IEEE
15 years 5 months ago
2005
IEEE
In this paper, we present a novel solution of image segmentation based on positiveness by regarding the segmentation as one of the graph-theoretic clustering problems. On the cont...