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40 Algorithms Every Programmer Should Know
book

40 Algorithms Every Programmer Should Know

by Imran Ahmad
June 2020
Intermediate to advanced
382 pages
11h 39m
English
Packt Publishing
Content preview from 40 Algorithms Every Programmer Should Know

Initialization

In order to group them, the k-means algorithm uses a distance measure to find the similarity or closeness between data points. Before using the k-means algorithm, the most appropriate distance measure needs to be selected. By default, the Euclidean distance measure will be used. Also, if the dataset has outliers, then a mechanism needs to be devised to determine the criteria that are to be identified and remove the outliers of the dataset.

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Publisher Resources

ISBN: 9781789801217Supplemental Content