Principle Component Analysis (PCA) with varimax rotation.

Algorithms for checking the accuracy of a clustering result with known classes, computing cluster validity indices, and generating plots for comparing them. The package is compatible with K-means, fuzzy C means, EM clustering, and hierarchical clustering (single, average, and complete linkage).

The objective is to implement different clustering methods to synthetic and real-world data and validate using external and internal validation techniques