130 search results - page 2 / 26 » K-attractors: a Partitional Clustering Algorithm for Numeric... |
NIPS
2004
13 years 6 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...
DMKD
1997
ACM
13 years 9 months ago
1997
ACM
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
APBC
2004
13 years 6 months ago
2004
Huge amount of gene expression data have been generated as a result of the human genomic project. Clustering has been used extensively in mining these gene expression data to find...
IMSCCS
2007
IEEE
13 years 11 months ago
2007
IEEE
To analyze the linear correlations of numeric attributes of government data, this paper proposes a method based on the clustering algorithm. A clustering method is adopted to prun...
MLMTA
2007
13 years 6 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...