They can be both, but they can also be only one of those two. What is Clustering?Ĭlustering is the division of data into groups which are meaningful or useful. This guide will cover the definition and purpose of clustering in general what the basic structure of the K-Means algorithm is, what common problems arise when using it and how to handle them, as well as some variations of the algorithm or similar algorithms that will be referenced. An observation is a single record of data of a specific format. It divides data based on its proximity to one of the K so-called centroids - data points that are the mean of all of the observations in the cluster. K-Means is one of the simplest and most popular clustering algorithms in data science.
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