A cluster graph is a visualization technique that uses different charts to represent cluster information such as cluster distribution, cluster density and distance, feature distribution, and cluster center representation.
Cluster distribution represents the number of observations in each cluster and is represented by a horizontal bar chart. However, you can also visualize the cluster distribution in a pie chart or a vertical bar chart.
The distance between clusters and density of each cluster is represented by a network chart. Each node in the network represents a cluster and its size. The color of the node represents density.
The comparison of the total distribution of all clusters against the distribution of each cluster is represented by a histogram. You can select the required measure from Measures under the Data section. You can view feature distribution for each cluster by selecting cluster number from Clusters under the Data section.
The R-K Means algorithm computes center points for each feature in each cluster. The comparison of each center point and cluster is represented by the radar chart. By default, the chart is displayed with normalized data. In the normalized mode, the data will be represented in the range of 0 to 1. However, you can unselect the Normalize Result option from Settings.