In this edition of insideBIGDATA’s Data Science 101 series, I’m going to offer up a short instructional video describing the use of the popular unsupervised learning algorithm, k-means clustering. This partitioned approach to clustering is demonstrated using the R statistical environment and the familiar iris data set. If you’ve ever wondered about this non-predictive style of statistical learning, this video serves as a great, simple introduction. The video is courtesy of our friends over at Influxity.
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