3-D Clustering of NBA Players with Plotly and K-Means

How to build a clustering model focusing on explainability

Clustering is an unsupervised learning Machine Learning technique to identify groups of similar data points in a given dataset. In theory, those groups will have the same properties that can help the explainability of the data and pattern recognition. Clustering applications in real life include customer and product segmentation, facility location optimization, recommendation systems, medical imaging, sports scouting, and more.

One of the most used …

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