Basics of Machine Learning: K-Means Clustering

Basics of Machine Learning: K-Means Clustering. As we dive into the world of “Unsupervised” Machine Learning, we will encounter problems that would require us to cluster the data available to us.

As we dive into the world of “Unsupervised” Machine Learning, we will encounter problems that would require us to cluster the data available to us. This means we have to divide the data into clusters based on their level of similarity. K-Means Clustering allows us to do just that.

As the name suggests, the algorithm makes use of the “means” of the data to cluster them. Here “K” is just the number of clusters we want our data to be divided in. We have to choose the value of “K” ourselves, and there are ways in which can select the right “K” for our…

data-visualization data-science clustering algorithms machine-learning

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