# linyiqun/DataMiningAlgorithm

数据挖掘18大算法实现以及其他相关经典DM算法

Repository: https://github.com/linyiqun/DataMiningAlgorithm
Canonical: https://ross.abutalabs.com/products/dataminingalgorithm
Language: Java
License Family: other
Last push: 2016-03-26T13:15:34+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4252, "days_push": 3812, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3948, forks 1674 (observed 2026-08-28T04:08:30.339368+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, data-science, developer-tools
- domain: machine-learning, data-science, tutorials, education
- platform: jvm, cross-platform
- tags: data-mining, java-implementations, educational, classic-algorithms, clustering, classification, association-rules, algorithms

## Member repositories
- linyiqun/DataMiningAlgorithm (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:30.339368+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:24:33.766131+00:00, confidence not recorded.
  - readme: https://github.com/linyiqun/DataMiningAlgorithm (fetched 2026-08-28T04:08:30.339368+00:00, sha ec7b0a0bc59c)
- Data as of 2026-08-30T08:39:29.467469+00:00.