3237 search results - page 1 / 648 » Clustering by Regression Analysis |
DAWAK
2003
Springer
13 years 9 months ago
2003
Springer
Abstract In data clustering, many approaches have been proposed. For example, K-means method and hierarchical method. A problem is in effect by initial value and criterion to comb...
ACSW
2004
13 years 6 months ago
2004
In data clustering, many approaches have been proposed such as K-means method and hierarchical method. One of the problems is that the results depend heavily on initial values and...
SIGIR
2004
ACM
13 years 10 months ago
2004
ACM
Organizing Web search results into clusters facilitates users' quick browsing through search results. Traditional clustering techniques are inadequate since they don't g...
BMCBI
2005
13 years 4 months ago
2005
Background: Cluster analyses are used to analyze microarray time-course data for gene discovery and pattern recognition. However, in general, these methods do not take advantage o...
CSDA
2006
13 years 4 months ago
2006
Likelihood-based marginal regression modelling for repeated, or otherwise clustered, categorical responses is computationally demanding. This is because the number of measures nee...