Internal Validity Indexes for Fuzzy and Possibilistic Clustering

Finding homogenous regions in the Salinas hyperspectral image

Qualitative and quantitative evaluation of the performance of clustering algorithms in HSI clustering

A new possibilistic-based clustering method for probability density functions and its application to detecting abnormal elements

Analysis of the Salinas hyperspectral image dataset using advanced clustering algorithms, focusing on identifying homogeneous regions in the image. Implementations of cost-function optimization and hierarchical clustering techniques, along with evaluations and visualizations in reduced-dimensional spaces.

Analytical and computational exploration of clustering algorithms, focusing on k-means and k-medians, with MATLAB implementations and synthetic dataset analyses.