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How Many Clusters?
Feb. 11, 2022, 5:33 a.m. | Satoru Hayasaka
Towards Data Science - Medium towardsdatascience.com
Methods for choosing the right number of clusters
Introduction
Clustering is an unsupervised machine learning method that can identify groups of similar data points, known as clusters, from the data itself. For some clustering algorithms, such as K-means, one needs to know how many clusters there are beforehand. If the number of clusters is incorrectly specified, the results are not very informative (see Figure 1).
Figure 1: Clustering with different number of clusters, k=4, 6, & 8. Simulated data …More from towardsdatascience.com / Towards Data Science - Medium
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