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Clustering

Case contributed by Candace Makeda Moore
Diagnosis not applicable

Clustering of a randomly...

Diagram

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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