42 search results - page 2 / 9 » A Robust Fuzzy Local Information C-Means Clustering Algorith... |
IDA
2011
Springer
12 years 11 months ago
2011
Springer
Abstract. The goal of this article is to introduce a collaborative clustering approach to the domain of ubiquitous knowledge discovery. This clustering approach is suitable in peer...
NN
1998
Springer
13 years 4 months ago
1998
Springer
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
BMCBI
2010
13 years 5 months ago
2010
Background: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the inter...
ICDM
2003
IEEE
13 years 10 months ago
2003
IEEE
A novel approach to clustering co-occurrence data poses it as an optimization problem in information theory which minimizes the resulting loss in mutual information. A divisive cl...
IDA
2003
Springer
13 years 10 months ago
2003
Springer
The segmentation of time-series is a constrained clustering problem: the data points should be grouped by their similarity, but with the constraint that all points in a cluster mus...