Kmeans information and cluster analysis

Hello so I recently used kmeans clustering to group customers with similar purchase order histories/customer data. I have obtained the IDk, c , sumd, and d values obtained from the kmeans function. My question is with this data, How am I supposed to extract information so I can learn about what is in the clusters? Are there any functions or methods to describe the affects of the variables? Please help.

Answer 1

[Nirja Mehta]

The outputs of kmeans will help you in visualizing the way your data is separated among k number of clusters. The outputs contain the following information:

idx - cluster indices

C — Cluster centroid locations

sumd — Within-cluster sums of point-to-centroid distances

D — Distances from each point to every centroid

With this information, you can plot the clusters and the cluster centroids as shown in the following link: K-Means Plot