14 lines (14 loc) · 420 Bytes

R

Implement Computational Statistics algorithms in R

Including:

Text Mining;
Implementation of Heap;
Dynamic Programming(Backward);
Solving Knapsack Problem;
K-means Clustering/k-medoid methods on MNIST dataset;
EM Clustering on MNIST dataset;
Gradient Descent for blind source speration;
MC;
MCMC;
Sampling(Rejection, Importance Sampling);
Crpytography with Matropolis-Histing Method.