April 2024
Beginner to intermediate
500 pages
24h 20m
English
Content preview from Python Programming in Context, 4th Edition
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7.7 Summary
In this chapter, we implemented the K-means algorithm—a simple cluster analysis technique that is vulnerable to problems in some cases. This approach can be applied to a wide variety of application domains and performs in a fairly efficient manner. There are other techniques for cluster analysis, and we urge you to consider some of them for comparison purposes.
We utilized lists—specifically, parallel lists—and lists of lists (multidimensional lists) as a means of organizing our data. Finally, we created a visualization for our cluster analysis results.
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