A simple implementation of the Fuzzy C-Means Clustering (FCM) in MATLAB/GNU-Octave.

An ANFIS Model for Stock Price Prediction

Several state-of-the-art fuzzy clustering algorithms, including Fuzzy c-means clustering, fuzzy subspace clustering and maximum entropy clustering algorithms

Image Segmentation using Fuzzy C-Means Clustering with Bias Field Correction

An Implementation of Sonar Image Segmentation through Fuzzy C-means Clustering

Entropy c-Means, a multi-objecitve fuzzy clustering method

An Evolutionary Pentagon Support Vector Finder Method

Medical Image processing project.

A reccommender system for jobs using Deep Auto Encoders and Fuzzy Clustering

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

Getting More accuracy and higher performance by the new generation of fuzzy inference systems.

Worked with Dr. Shandong Wu at University of Pittsburgh to use software to improve outcomes for breast cancer risk detection.

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.

Implementation of Fuzzy C-Means (FCM) algorithm for clustering datasets.