KMeans-Variants-Clustering-R

R codes for K-Means Clustering and Fuzzy K-Means Clustering, along with improved versions applied on Iris Data Set

Click here to get the link of the data set.

The following codes are to be run in RStudio.

1. kmeans.r file contains the basic steps for running k-means clustering algorithm
2. nokmeans.r file contains the normalized version of k-means clustering algorithm
3. fkmeans.r file contains the basic steps for running fuzzy k-means clustering algorithm
4. nofkmeans.r file contains the normalized version of fuzzy k-means clustering algorithm
5. time.r file contains the basic steps needed to calculate the time taken by a particular algorithm to fetch results

Associated Research Paper: Proficient Normalised Fuzzy K-Means with Initial Centroids Methodology