Case contributed by Dr Candace Makeda Moore

Clustering of a randomly generated data set


Data has clustered into four groups shown in four different colors.

Case Discussion

A randomly generated dataset was created and clustered in terms of three features (x, y and z). The dataset was generated with scikit-learn (a popular library for machine learning programs).

Clustering has been implemented in many algorithms used in radiology since the 1970s for segmentation. The rise of machine learning for radiology applications, has sparked renewed interest in clustering.


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