343 search results - page 22 / 69 » Resampling for Fuzzy Clustering |
HAIS
2010
Springer
13 years 7 months ago
2010
Springer
A hybrid of two novel methods - additive fuzzy spectral clustering and lifting method over a taxonomy - is applied to analyse the research activities of a department. To be specifi...
BMCBI
2010
13 years 5 months ago
2010
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
PAKDD
2005
ACM
14 years 1 months ago
2005
ACM
Density-based clustering has the advantages for (i) allowing arbitrary shape of cluster and (ii) not requiring the number of clusters as input. However, when clusters touch each o...
CIKM
2000
Springer
13 years 12 months ago
2000
Springer
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes docum...
IDA
2003
Springer
14 years 25 days 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...