🔍Cluster

Cluster your datasets and launch insights

Overview

Interpret these vectors and your data to different buckets and interpret them more easily when combined with aggregation. Clustering provides a simple way to group vectors and metadata so that those with similar properties can be easily interpreted.

When we cluster, we can identify the key attributes and have a new way to observe our data.

In this dataset, we grouped together similar players with similar statistics. From here, we can tell which players are actually similar and new types of players that can emerge.

Looking at this cluster of players who are similar to Chad Prince

We take the player closest to the center of the cluster in order to represent the cluster by name only. From there, we take the average of the cluster and note the general statistics of the group. We can make comparisons to groups of players similar to Chad Prince and compare them to players like Simon Elliott.

Groups of players like Simon Elliott