149 search results - page 5 / 30 » Unsupervised clustering using hyperclique pattern constraint... |
MCS
2010
Springer
14 years 1 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
14 years 9 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...
ICIP
2003
IEEE
14 years 8 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
14 years 1 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...
WACV
2005
IEEE
14 years 17 days 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...