ZPGuiGroupWhu / ClusteringDirectionCentrality

A novel Clustering algorithm by measuring Direction Centrality (CDC) locally. It adopts a density-independent metric based on the distribution of K-nearest neighbors (KNNs) to distinguish between internal and boundary points. The boundary points generate enclosed cages to bind the connections of internal points.

Date Created 2022-03-08 (2 years ago)

Commits 182 (last one 27 days ago)

Stargazers 69 (0 this week)

Watchers 3 (0 this week)

Forks 7

License unknown

Ranking

RepositoryStats indexes 534,669 repositories, of these ZPGuiGroupWhu/ClusteringDirectionCentrality is ranked #348,800 (35th percentile) for total stargazers, and #399,093 for total watchers. Github reports the primary language for this repository as MATLAB, for repositories using this language it is ranked #633/1,214.

ZPGuiGroupWhu/ClusteringDirectionCentrality is also tagged with popular topics, for these it's ranked: machine-learning (#5,352/7373)

Other Information

ZPGuiGroupWhu/ClusteringDirectionCentrality has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 6 open issues and 1 closed issue.

There have been 1 release, the latest one was published on 2022-08-28 (about a year ago) with the name First release of CDC code.

All Topics

clustering knn-algorithm machine-learning centrality-measures point-pattern-analysis

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182 commits on the default branch (master) since jan '22

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The primary language is MATLAB but there's also others...

updated: 2024-06-04 @ 11:56pm, id: 467575519 / R_kgDOG96i3w