# Compare Clusters

## What is Compare clusters?

Compare clusters is a tool to identify the optimal number of clusters for K-means Clustering using the Davies-Bouldin index. The Davies-Bouldin index is a measure of cluster quality where a lower value indicates better clustering, i.e., the separation between points within the clusters is low (tight clusters) and separation between clusters is high (distinct clusters).

## Running Compare clusters

We recommend normalizing your data prior to running *Compare clusters*, but the task will run on any counts data node.

* Click the counts data node
* Click the **Exploratory analysis** section of the toolbox
* Click **Compare clusters**
* Configure the parameters
* Click **Finish** to run (Figure 1)

<figure><img src="/files/wfTA2WBraZyLvkIKKmmQ" alt=""><figcaption><p>Figure 1. Compare clusters configuration dialog</p></figcaption></figure>

The parameters for *Compare clusters* are the same as for *K-means* *clustering*.

## Compare clusters task report

The *Compare clusters* task report is an interactive line chart with the number of clusters on the x-axis and the Davies-Bouldin index on the y-axis (Figure 2).

<figure><img src="/files/bidXJTP08VtlN0cYb4mL" alt=""><figcaption><p>Figure 2. The Compare clusters task report shows the Davies-Bouldin index for each number of clusters.</p></figcaption></figure>

The *Compare clusters* task report can be used to run *K-means clustering.*

* Click a point on the plot to select it or type the number of clusters in the text box *Partition data into clusters*

Selecting a point sets it as the number of clusters to partition the data into. The number of clusters with the lowest Davies-Bouldin index value is chosen by default.

* Click **Generate clusters** to run *K-means clustering* with the selected number of clusters

A *K-means clustering* task node and a *Clustering result* data node are produced. Please see our documentation on K-means Clustering for more details.

## Additional Assistance

If you need additional assistance, please visit our support page to submit a help ticket or find phone numbers for regional support.


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