sepehrasgarian / -Rbf-Network-Implementation

Implementation of a RBF network using the FCm (c means) algorithm in order to find the best centers for clustering.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Implement a RBF neural network. Fuzzy c-means (FCM) was used in order to find the best center of clusters for training RBF. FCM is a method of clustering which allows one piece of data to belong to two or more clusters. For implementing this method I used this link:FCM

**My outputs for 5 classes Data set and 8 clusters with FCM algorithm **

cluster

Colures

final result that classify outputs with 96 percent accuracy for train and test final

About

Implementation of a RBF network using the FCm (c means) algorithm in order to find the best centers for clustering.


Languages

Language:Python 100.0%