Bayesian Pattern Recognition Using Gaussian Models for Breast Cancer Data

Implementation of Bayesian pattern recognition on the University of Wisconsin's long-term breast cancer dataset using Gaussian models, achieving over 95% recognition rate. This serves as a significant case study in pattern recognition with practical medical applications.

K-MEANS Clustering Algorithm and Its Enhancement Using PSO and QPSO Algorithms

Implementation of classical K-MEANS clustering with performance improvements through Particle Swarm Optimization (PSO) and Quantum-inspired Particle Swarm Optimization (QPSO) algorithms