Ant Colony Optimization Dynamic Pathfinding Algorithm

Input parameter list for Ant Colony Optimization dynamic pathfinding algorithm: G (terrain map as binary matrix where 1 represents obstacles), Tau (initial pheromone matrix considering residual pheromones from previous foraging activities), K (number of iterations representing how many ant waves are dispatched), M (number of ants per wave), S (starting point for shortest path), E (ending point/destination for shortest path)

Spherical k-Means Clustering Algorithm

The spherical k-means algorithm is an effective clustering technique that partitions datasets into spherical clusters, preserving data characteristics while grouping similar elements

MATLAB Code Implementation for Linear Curve Fitting

A custom MATLAB program that computes linear regression parameters (slope k and intercept b) from given x and y coordinate datasets. The implementation utilizes matrix operations and linear algebra principles for accurate results.