PFClust: a novel parameter free clustering algorithm.

ABSTRACT:

Background

We present the algorithm PFClust (Parameter Free Clustering), which is able automatically to cluster data and identify a suitable number of clusters to group them into without requiring any parameters to be specified by the user. The algorithm partitions a dataset into a number of clusters that share some common attributes, such as their minimum expectation value and variance of intra-cluster similarity. A set of n objects can be clustered into any number of clusters from one to n, and there are many different hierarchical and partitional, agglomerative and divisive, clustering methodologies available that can be used to do this. Nonetheless, automatically determining the number of clusters present in a dataset constitutes a significant challenge for clustering algorithm

SUBMITTER: Mavridis L 

PROVIDER: S-EPMC3747858 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature