151 search results - page 1 / 31 » Fuzzifying Clustering Algorithms: The Case Study of MajorClu... |
MICAI
2007
Springer
13 years 11 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...
ASUNAM
2011
IEEE
12 years 4 months ago
2011
IEEE
Abstract—Community detection or cluster detection in networks is a well-studied, albeit hard, problem. Given the scale and complexity of modern day social networks, detecting “...
EMNLP
2008
13 years 6 months ago
2008
This paper explores the challenge of scaling up language processing algorithms to increasingly large datasets. While cluster computing has been available in commercial environment...
AUSDM
2007
Springer
13 years 8 months ago
2007
Springer
Population based real-life datasets often contain smaller clusters of unusual sub-populations. While these clusters, called `hot spots', are small and sparse, they are usuall...
IGPL
2011
12 years 11 months ago
2011
Clustering is a branch of multivariate analysis that is used to create groups of data. While there are currently a variety of techniques that are used for creating clusters, many ...