Ontology highlight
ABSTRACT:
SUBMITTER: Li L
PROVIDER: S-EPMC4556708 | biostudies-literature | 2015
REPOSITORIES: biostudies-literature
PloS one 20150901 9
Semi-supervised clustering algorithms are increasingly employed for discovering hidden structure in data with partially labelled patterns. In order to make the clustering approach useful and acceptable to users, the information provided must be simple, natural and limited in number. To improve recognition capability, we apply an effective feature enhancement procedure to the entire data-set to obtain a single set of features or weights by weighting and discriminating the information provided by ...[more]