Cluster validation: Dunn index (DI) - Implementation using Python
Dunn index (DI) is an internal cluster validation technique. Cluster validation techniques are used for determining the goodness of a clustering algorithm. In the case of DI, the higher the value, the better the clustering result is. Dunn index is calculated by taking the ratio of the lowest inter-cluster distance and the largest intra-cluster distance from the number of clusters within the set.
GitHub address: https://github.com/randomaccess2023/M...
For more details: https://en.wikipedia.org/wiki/Dunn_index
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