Learn AI with Python: Explore Machine Learning and Deep Learning Techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and Keras by Gaurav Leekha

Author:Gaurav Leekha [Leekha, Gaurav]
Language: eng
Format: epub
Publisher: BPB Publications
Published: 2022-08-15T00:00:00+00:00

The following is the formula for calculating the Silhouette score:

silhouette score = (p - q)/max (p,q)

Here, p is the mean distance to the points in the nearest cluster, and q is the mean intra-cluster distance to all the points.

Davies–Bouldin index

Davies–Bouldin index, another good metric for clustering analysis, helps us get the answer to the following two questions:

Is there enough space between the two clusters?

What is the density of clusters?

The following is the formula for calculating the DB index:

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