linyiqun/DataMiningAlgorithm resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

3948 stars · 1674 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Java collection implementing the 18 classic data mining algorithms (Apriori, FP-Tree, CART, ID3, KNN, Naive Bayes, SVM, EM, KMeans, BIRCH, PageRank, and more) plus additional classics like DBSCAN, Random Forest, and genetic algorithms. It is primarily an educational reference with accompanying blog posts explaining each algorithm.

Use cases

• learn how classic data mining algorithms work
• study Java implementations of Apriori and FP-Tree
• reference code for decision tree algorithms like ID3 and CART
• understand clustering algorithms such as KMeans and DBSCAN
• see how PageRank and HITS link analysis are implemented
• find example code for SVM and EM algorithms

When to choose

• you want readable Java source code to learn data mining algorithms
• you need reference implementations for coursework or study
• you want algorithm explanations paired with code

When to avoid

• you need production-ready, performant ML libraries
• you need maintained software with a license and active releases
• you want scalable implementations for large datasets

Facets

learning-resource · maturity maintenance

machine-learning data-science developer-tools machine-learning data-science tutorials education jvm cross-platform data-mining java-implementations educational classic-algorithms clustering classification association-rules algorithms

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