331 search results - page 1 / 67 » Possibilistic Clustering in Feature Space |
WILF
2007
Springer
13 years 10 months ago
2007
Springer
In this paper we propose the Possibilistic C-Means in Feature Space and the One-Cluster Possibilistic C-Means in Feature Space algorithms which are kernel methods for clustering in...
ISNN
2011
Springer
12 years 7 months ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
AAAI
2012
11 years 6 months ago
2012
Existing clustering methods can be roughly classified into two categories: generative and discriminative approaches. Generative clustering aims to explain the data and thus is ad...
CAIP
1995
Springer
13 years 8 months ago
1995
Springer
We propose a novel approach to image segmentation, called feature and spatial domain clustering. The method is devised to group pixel data by taking into account simultaneously bo...
SDM
2008
SIAM
13 years 6 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...