1595 search results - page 13 / 319 » A hierarchical clustering algorithm based on the Hungarian m... |
SDM
2008
SIAM
13 years 10 months ago
2008
SIAM
In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
ICIP
2009
IEEE
13 years 6 months ago
2009
IEEE
In this paper, a new unsupervised hierarchical approach to textured color images segmentation is proposed. To this end, we have designed a two-step procedure based on a grey-scale...
AIRS
2006
Springer
14 years 25 days ago
2006
Springer
Recently, much research has been proposed using nature inspired algorithms to perform complex machine learning tasks. Ant Colony Optimization (ACO) is one such algorithm based on s...
NIPS
2004
13 years 10 months ago
2004
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
ICDE
1999
IEEE
14 years 10 months ago
1999
IEEE
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...