R code K-means clustering algorithm to cluster and classify the OptDigits data, originally from the UCI ML repository. Each instance has 64 attributes, each of which can have value 0 - 16. K-means clustering algorithm is implemented using Eucledean distance and the resulting clusters are evaluated using sum-squared error, sum-squared separation and entropy.