313 search results - page 15 / 63 » Prototype-less Fuzzy Clustering |
FUZZIEEE
2007
IEEE
14 years 1 months ago
2007
IEEE
— This paper provides a broad overview of logical and black box approaches to fuzzy and rough hybridization. The logical approaches include theoretical, supervised learning, feat...
ENGL
2007
13 years 7 months ago
2007
— This paper presents clustering techniques (K-means, Fuzzy K-means, Subtractive) applied on specific databases (Flower Classification and Mackey-Glass time series) , to automati...
PR
2006
13 years 7 months ago
2006
Fuzzy-clustering methods, such as fuzzy k-means and Expectation Maximization, allow an object to be assigned to multiple clusters with different degrees of membership. However, th...
MLDM
2007
Springer
14 years 1 months ago
2007
Springer
The color reduction in digital images is an active research area in digital image processing. In many applications such as image segmentation, analysis, compression and transmissio...
FUZZIEEE
2007
IEEE
14 years 1 months ago
2007
IEEE
— Recently several algorithms for clustering large data sets or streaming data sets have been proposed. Most of them address the crisp case of clustering, which cannot be easily ...