Vertica Machine Learning Series: k-means
Posted: 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.
Continue reading here:
https://my.vertica.com/blog/vertica-mac ... s-k-means/
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.
Continue reading here:
https://my.vertica.com/blog/vertica-mac ... s-k-means/