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.