July 2017
Beginner to intermediate
715 pages
17h 3m
English
Content preview from Java: Data Science Made Easy
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Manual evaluation
Manual evaluation means looking at the results manually and using the domain expertise to assess the quality of clusters and if they make any sense.
The manual check is usually done in the following way:
- For each cluster, we sample the same data points
- Then, we look at them to see if they should belong together or not
When looking at the data, we want to ask ourselves the following questions:
- Do these items look similar?
- Does it make sense to put these items into the same group?
If the answer to both the question is yes, then the clustering results are good. Additionally, the way we sample data is also important. For example, in case of K-means, we should sample some items that are close to the centroid, and some items ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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