An implementation of Fuzzy-CMean-Clustering with GUI
Python
Fuzzy C-mean Clustering Algorithm
Midterm Project Description:
My role was to build a GUI and implement Fuzzy Cmean Clustering Algorithm for image segmentation
Algorithm Overview:
This algorithm works by assigning membership to each data point corresponding to the centre of each cluster (centroid). This is done by calculating the distance between the cluster center and the data point. The more the data is close to that centre the more it is related to that cluster
Algorithm:
Choose a number of clusters
Assign coefficients randomly to each data point for being in the clusters.
Repeat until convergance or reaching maximum number of iterations
Compute the centroid for each cluster
Compute the distance between each data point and the centroid.
