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Java: Data Science Made Easy
book

Java: Data Science Made Easy

by Richard M. Reese, Jennifer L. Reese, Alexey Grigorev
July 2017
Beginner to intermediate
715 pages
17h 3m
English
Packt Publishing
Content preview from Java: Data Science Made Easy

Unsupervised Evaluation

Lastly, there are unsupervised evaluation scores for assessing the quality of clustering when no labels are known.

We already mentioned one such metric: distortion, which is the sum of distances between each item and its closest centroid. There are other metrics such as:

  • Maximal pairwise distance within clusters
  • Mean pairwise distance
  • Sum of squared pairwise distances

These and some other metrics are also implemented in JSAT and you will find them in the jsat.clustering.evaluation.intra package.

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Publisher Resources

ISBN: 9781788475655Supplemental Content