Clustering Algorithms and their Application to Facial Image Analysis

Color image segmentation of the Berkeley 300 segmentation dataset using K-Means and Fuzzy C-Means. Normalized Probabilistic Rand Index for quantitative analysis.

Computes the Probabilistic Rand Index (PRI) to measure the similarity between two clusterings (partitions) of a set of objects

An in-depth exploration of clustering algorithms and techniques in machine learning, with applications focus on Object Tracking and Image Segmentation.

Unsupervised ML analysis of lifestyle data to uncover risk patterns for Dry Eye Disease

simple image clustring

R-implementation of clustering using mixed-type data (continous and discrete)

Bioinformatics project

👁️ Analyze clustering methods to uncover subgroups in Dry Eye Disease patients, using health and lifestyle data for targeted insights and improved outcomes.

Exploring meachine learning techniques and algorithms. Including clustering algorithms, perceptron and, more.

Computational Intelligence Clustering Models On ORL