Clustering Algorithms

Clustering is a technique that most Data Scientists will use, especially in their journey toward Machine Learning (ML). When given a set of data points, clustering involves grouping them to use a selected algorithm to classify the data into a specific group. Theoretically, data points that share a "grouping" should have similar properties and features, while data points in a "different" group should have highly "dissimilar" properties or characteristics. If we consider cluster, it is an unsupervised learning method and a typical statistical data analysis technique used in numerous domains. Data Scientists can use clustering analysis to gain valuable insights from the data by understanding the groups that data points collect into when applying a clustering algorithm. 

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