Ontology highlight
ABSTRACT:
SUBMITTER: Yeh WC
PROVIDER: S-EPMC5112810 | biostudies-literature | 2016
REPOSITORIES: biostudies-literature
PloS one 20161115 11
The K-harmonic means clustering algorithm (KHM) is a new clustering method used to group data such that the sum of the harmonic averages of the distances between each entity and all cluster centroids is minimized. Because it is less sensitive to initialization than K-means (KM), many researchers have recently been attracted to studying KHM. In this study, the proposed iSSO-KHM is based on an improved simplified swarm optimization (iSSO) and integrates a variable neighborhood search (VNS) for KHM ...[more]