MLPACK C++ 머신러닝 라이브러리.

	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/ 위키 : https://en.wikipedia.org/wiki/MLPACK_(C%2B%2B_library) Visual Studio 에서 mlpack 환경구축 예 : http://keon.io/mlpack-on-windows.html