25041 search results - page 104 / 5009 » Algorithms for Clustering Data |
MLMTA
2007
13 years 9 months ago
2007
— Cluster Ensembles is a framework for combining multiple partitionings obtained from separate clustering runs into a final consensus clustering. This framework has attracted mu...
IDA
2007
Springer
14 years 2 months ago
2007
Springer
The Denclue algorithm employs a cluster model based on kernel density estimation. A cluster is defined by a local maximum of the estimated density function. Data points are assign...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
We study an algorithm for feature selection that clusters attributes using a special metric and then makes use of the dendrogram of the resulting cluster hierarchy to choose the m...
NIPS
2004
13 years 9 months ago
2004
An important aspect of clustering algorithms is whether the partitions constructed on finite samples converge to a useful clustering of the whole data space as the sample size inc...
SSDBM
2008
IEEE
14 years 2 months ago
2008
IEEE
In order to establish consolidated standards in novel data mining areas, newly proposed algorithms need to be evaluated thoroughly. Many publications compare a new proposition – ...