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Mastering Python Data Analysis
book

Mastering Python Data Analysis

by Magnus Vilhelm Persson, Luiz Felipe Martins
June 2016
Beginner to intermediate
284 pages
6h 22m
English
Packt Publishing
Content preview from Mastering Python Data Analysis

Chapter 5. Clustering

With data comprising of several separated distributions, how do we find and characterize them? In this chapter, we will look at some ways to identify clusters in data. Groups of points with similar characteristics form clusters. There are many different algorithms and methods to achieve this with good and bad points. We want to detect multiple separate distributions in the data and determine the degree of association (or similarity) with another point or cluster for each point. The degree of association needs to be high if they belong in a cluster together or low if they do not. This can of course, just as previously, be a one-dimensional problem or multi-dimensional problem. One of the inherent difficulties of cluster finding ...

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Publisher Resources

ISBN: 9781783553297