5 Questions
What is the typical method used for model-based clustering?
EM, SOM, COBWEB
How is the number of clusters estimated empirically?
of clusters ≈√n/2 for a dataset of n points
What is the Elbow method used for in clustering?
Identify the turning point in the curve of sum of within cluster variance w.r.t the # of clusters
How does the Cross Validation method assess the quality of a clustering model?
Divide a given data set into m parts, use m – 1 parts to obtain a clustering model, and use the remaining part to test the quality of the clustering
What is the difference between extrinsic and intrinsic cluster quality methods?
Extrinsic methods are supervised and compare clustering against ground truth; intrinsic methods evaluate clustering without external labels.
Learn about BCubed precision and recall metrics for evaluating clustering quality in an unsupervised setting where ground truth is unavailable. Explore the importance of cluster homogeneity, cluster completeness, and other essential criteria in assessing the goodness of a clustering algorithm.
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