3,000 items have been grouped optimally into 4 clusters based on 9 columns using K-Means.
This cluster has a score of 389. (Larger values indicate better clusters. There's no "minimum" value.)
Each cluster has different characteristics. The average features for every
cluster are in this table.
Adjust the slider below to highlight
important features.
Every item's cluster and features are shown below. You can sort the table and explore the clusters.