Skip to content

Releases: adanjoga/cvik-toolbox

cvik v1.0

21 Mar 13:48
@adanjoga adanjoga
v1.0
353b874
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Learn about vigilant mode.
Compare
Choose a tag to compare
cvik v1.0 Latest
Latest

CVIK is a Cluster Validity Index toolbox for automatically determining the number of clusters in data clustering problems. CVIK is developed in MATLAB R2020b and contains more than 70 functions (m-files), including 28 cluster validity indices (CVIs), algorithms, metrics, and validation measures.

  • 28 cluster validity indices (main objective of CVIK)
  • 8 proximity measures
  • 4 clustering algorithms
  • 14 clustering performance Indices
Assets 2
Loading