数据挖掘算法集锦和学习教程

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Algorithms

These are some Machine Learning and Data Mining algorithms and models help you to understand your data and derive meaning from it.

Supervised Learning

  • Regression
  • Linear Regression
  • Ordinary Least Squares
  • Logistic Regression
  • Stepwise Regression
  • Multivariate Adaptive Regression Splines
  • Locally Estimated Scatterplot Smoothing
  • Classification
    • k-nearest neighbor
    • Support Vector Machines
    • Decision Trees
    • ID3 algorithm
    • C4.5 algorithm
  • Ensemble Learning
  • Boosting
  • Bagging
  • Random Forest
  • AdaBoost

Unsupervised Learning

  • Clustering
    • Hierchical clustering
    • k-means
    • Fuzzy clustering
    • Mixture models
  • Neural Networks
  • Self-organizing map
  • Adaptive resonance theory

Semi-Supervised Learning

Reinforcement Learning

  • Q Learning
  • SARSA (State-Action-Reward-State-Action) algorithm
  • Temporal difference learning

Data Mining Algorithms

  • C4.5
  • k-Means
  • SVM
  • Apriori
  • EM
  • PageRank
  • AdaBoost
  • kNN
  • Naive Bayes
  • CART

**Also,you can find most data mining algorithms in WEKA program easily **

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转载自blog.csdn.net/weixin_32393347/article/details/83758374