"Clustering Evaluation" assesses the feasibility of clustering analysis on a data set and the quality of the results generated by a clustering method.
What is Clustering Evaluation?
Typical objective functions in clustering evaluation define the goal of achieving high intra-cluster similarity and low inter-cluster similarity . This is an internal quality criterion for clustering. However, high scores on an internal criterion do not always imply high application effectiveness. Direct evaluation in the application of interest is a viable alternative to internal criteria. We may wish to measure the time it takes users to get an answer using different clustering techniques for search result clustering. This is the most direct clustering evaluation, but it is also the most expensive, especially if extensive user studies are required.
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