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지속가능티끌/Data.Math.Phys

MLPACK C++ 머신러닝 라이브러리.

by 리치굿맨 2016. 9. 14.


 

MLPACK 개요.

 

머신러닝 알고리듬들 C++ library,

특징. -제공알고리듬.
  • Collaborative Filtering
  • Density Estimation Trees
  • Euclidean Minimum Spanning Trees
  • Fast Exact Max-Kernel Search (FastMKS)
  • Gaussian Mixture Models (GMMs)
  • Hidden Markov Models (HMMs)
  • Kernel Principal Component Analysis (KPCA)
  • K-Means Clustering
  • Least-Angle Regression (LARS/LASSO)
  • Local Coordinate Coding
  • Locality-Sensitive Hashing (LSH)
  • Logistic regression
  • Naive Bayes Classifier
  • Neighbourhood Components Analysis (NCA)
  • Non-negative Matrix Factorization (NMF)
  • Principal Components Analysis (PCA)
  • Independent component analysis (ICA)
  • Rank-Approximate Nearest Neighbor (RANN)
  • Simple Least-Squares Linear Regression (and Ridge Regression)
  • Sparse Coding
  • Tree-based Neighbor Search (all-k-nearest-neighbors, all-k-furthest-neighbors), using either kd-trees or cover trees
  • Tree-based Range Search

  • 전산 특징.
    - C++
    Armadillo library 기반하고 있음.

    메인사이트 : http://mlpack.org/

    Visual Studio 에서 mlpack 환경구축 예 : http://keon.io/mlpack-on-windows.html

     


     






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