Learn how to use exploratory data analysis (EDA) to identify and visualize clusters in your data, using Python as an example.

Learn how to conduct cluster analysis in Python through data preparation, algorithm selection, evaluation, interpretation, and improvement.

We'll be trying to successfully cluster those three clusters: ! [] (images/clusters.png) Yep, those are the clusters that we just showed you, indeed :) Now, open up a code editor, create a Python file ...

Visualization The code above visualizes the clustering results with a scatter plot. Each data point is assigned a color based on its cluster, and the centroids are marked with a red 'X'. In the ...

K-means is a commonly used algorithm in machine learning. It is an unsupervised learning algorithm. It is regularly used for data clustering. Only the number of clusters are needed to be specified for ...