33 search results - page 1 / 7 » A New Clustering Algorithm Based on Regions of Influence wit... |
ICDM
2009
IEEE
13 years 2 months ago
2009
IEEE
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...
BMCBI
2010
13 years 4 months ago
2010
Background: Conserved gene clusters are groups of genes that are located close to one another in the genomes of several species. They tend to code for proteins that have a functio...
DMKD
1997
ACM
13 years 8 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...
SMC
2007
IEEE
13 years 10 months ago
2007
IEEE
— An important consideration in clustering is the determination of the correct number of clusters and the appropriate partitioning of a given data set. In this paper, a newly dev...
KDD
2003
ACM
14 years 5 months ago
2003
ACM
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...