Vertica Machine Learning Series: k-means

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JimKnicely
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Vertica Machine Learning Series: k-means

Post by JimKnicely » Thu Feb 23, 2017 4:01 am

What is k-means Clustering?

K-means clustering is an unsupervised learning algorithm that clusters data into groups based on their similarity. Using k-means, you can find k clusters of data, represented by centroids. As the user, you select the number of clusters.

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https://my.vertica.com/blog/vertica-mac ... s-k-means/
Jim Knicely

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Note: I work for HPE. My views, opinions, and thoughts expressed here do not represent those of my employer.

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