ClusterAnalysis

Cluster Algorithms from Scratch with Julia Lang. (K-Means and DBSCAN)

https://github.com/augustocl/clusteranalysis.jl

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (14.4%) to scientific vocabulary

Keywords

algorithms cluster clustering dbscan dbscan-clustering julia k-means k-means-clustering machine-learning
Last synced: 4 months ago · JSON representation ·

Repository

Cluster Algorithms from Scratch with Julia Lang. (K-Means and DBSCAN)

Basic Info
Statistics
  • Stars: 24
  • Watchers: 1
  • Forks: 4
  • Open Issues: 1
  • Releases: 3
Topics
algorithms cluster clustering dbscan dbscan-clustering julia k-means k-means-clustering machine-learning
Created over 4 years ago · Last pushed about 3 years ago
Metadata Files
Readme License Citation

README.md

ClusterAnalysis.jl

Stable Dev Build Status Coverage DOI

This package was built from scratch, entirely in Julia Lang, and implements a few popular clustering algorithms like K-Means and DBSCAN.

This is mostly a learning experiment, but the package were also built and documented to be used by anyone, Plug-and-Play. Just input your data as an Array or a Tables.jl type (like DataFrames.jl), then start training your clusters algorithms and analyze your results.

Documentation: https://augustocl.github.io/ClusterAnalysis.jl/

Algorithms Implemented

Currently we implemented two types of algorithms, a partitioned based (K-Means) and a spatial density based (DBSCAN).

Go check the Algorithms Overview Section that contains all the details of how it works the algorithm and also got the bibliography and papers used during the research and development of the code.

It's a great introduction to the algorithm and a good resource to read along with the source code.

How to install ClusterAnalysis.jl

```julia

press ] to enter in Pkg REPL mode.

julia> ] pkg> add ClusterAnalysis ```

To-Do

  • [X] Add K-Means++ initialization, to go beyond the random initialization proposed by Andrew NG. DONE
  • [X] Create DBSCAN algorithm. DONE
  • [ ] Create Hierarchical clustering algorithms with single, complete and average linkage options.

Owner

  • Name: Augusto C. Leal
  • Login: AugustoCL
  • Kind: user
  • Location: São Paulo

Passionate about data solutions. Use: Julia, Python, R, SQL and SAS. Interested in: ML/DataViz/Actuarial Science.

Citation (CITATION.cff)

authors: 
  -
    family-names: Leal
    given-names: "Augusto Cesar"
  -
    family-names: Carvalho
    given-names: Elias
cff-version: "1.1.0"
date-released: 2021-10-19
keywords: 
  - kmeans
  - dbscan
  - cluster
  - julia
license: MIT
message: "Use the following metadata to cite our fine selection of goods"
repository-code: "https://github.com/AugustoCL/ClusterAnalysis.jl"
title: "ClusterAnalysis.jl"
version: "0.1.0"
type: software

GitHub Events

Total
Last Year

Committers

Last synced: almost 2 years ago

All Time
  • Total Commits: 64
  • Total Committers: 5
  • Avg Commits per committer: 12.8
  • Development Distribution Score (DDS): 0.672
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
AugustoCL a****2@g****m 21
Elias Carvalho e****8@g****m 20
Augusto C. Leal l****o@u****r 10
eliascarv 7****v 7
Elias Carvalho e****v@g****m 6
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 5 months ago

All Time
  • Total issues: 2
  • Total pull requests: 1
  • Average time to close issues: about 14 hours
  • Average time to close pull requests: N/A
  • Total issue authors: 2
  • Total pull request authors: 1
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • JuliaTagBot (1)
  • abelsiqueira (1)
Pull Request Authors
  • shayandavoodii (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • julia 24 total
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
juliahub.com: ClusterAnalysis

Cluster Algorithms from Scratch with Julia Lang. (K-Means and DBSCAN)

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 24 Total
Rankings
Dependent repos count: 9.9%
Stargazers count: 22.0%
Average: 24.7%
Forks count: 28.1%
Dependent packages count: 38.9%
Last synced: 5 months ago

Dependencies

.github/workflows/CI.yaml actions
  • actions/cache v1 composite
  • actions/checkout v2 composite
  • codecov/codecov-action v1 composite
  • julia-actions/julia-buildpkg v1 composite
  • julia-actions/julia-docdeploy v1 composite
  • julia-actions/julia-processcoverage v1 composite
  • julia-actions/julia-runtest v1 composite
  • julia-actions/setup-julia v1 composite
.github/workflows/CompatHelper.yml actions
.github/workflows/TagBot.yaml actions
  • JuliaRegistries/TagBot v1 composite