An inversion-based clustering approach for complex clusters
An inversion-based clustering approach for complex clusters
About this item
Full title
Author / Creator
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
More information
Scope and Contents
Contents
The choice of an appropriate similarity measure plays a pivotal role in the effectiveness of clustering algorithms. However, many conventional measures rely solely on feature values to evaluate the similarity between objects to be clustered. Furthermore, the assumption of feature independence, while valid in certain scenarios, does not hold true fo...
Alternative Titles
Full title
An inversion-based clustering approach for complex clusters
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_05b552798f5b4808bdaabcaf308b9a67
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_05b552798f5b4808bdaabcaf308b9a67
Other Identifiers
ISSN
1756-0500
E-ISSN
1756-0500
DOI
10.1186/s13104-024-06791-y
