zulkifli70 / weighted_kmeans_r

Weighted K-means clustering implementation in R

Weighted K-means clustering implementation in R

We use weighted K-means clustering algorithm to determine warehouses' location of a specific restaurant chain that operates in Java Island. The data points are all cities in Java island. What become the weights are cities population. Moreover, the distance used is Haversine distance, as we will work with lon-lat coordinate system.

How to navigate this repository

1. Define Haversine distance using haversine_dist.R
2. Define sum of squares error using SSM.R
3. Define and execute weighted K-means algorithm using weighted_kmeans.R
4. Find the optimal K via The Elbow Method using elbow_method.R
5. Plot the result using plotting_result.R

The result