343 search results - page 14 / 69 » Resampling for Fuzzy Clustering |
EUSFLAT
2009
13 years 5 months ago
2009
Fuzzy C-Means (FCM) and hard clustering are the most common tools for data partitioning. However, the presence of noisy observations in the data may cause generation of completely ...
IJIS
2007
13 years 7 months ago
2007
Algorithms for clustering web search results have to be efficient and robust. Furthermore they must be able to cluster a dataset without using any kind of a priori information, s...
ICC
2007
IEEE
14 years 1 months ago
2007
IEEE
— To enhance the generalization capacity of a distribution learning method, we propose to use a fuzzy Bayesian framework based on Bayes rules. The precision of the learning resul...
ACIVS
2006
Springer
14 years 1 months ago
2006
Springer
In fuzzy clustering, the fuzzy c-means (FCM) algorithm is the best known and most used method. Although FCM is a very useful method, it is sensitive to noise and outliers so that W...
MICAI
2007
Springer
14 years 1 months ago
2007
Springer
Among various document clustering algorithms that have been proposed so far, the most useful are those that automatically reveal the number of clusters and assign each target docum...