Computer scienceData scienceMachine learningClustering

Introduction to clustering

The limitations of clustering

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What are some of the most common challenges in clustering?

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Carefully review the Common challenges in clustering section of the theory.

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Clustering is known to be inefficient computation-wise

Clustering becomes less interpretable in higher dimensions

Clustering works with distances, and thus, the choice of the distance metric affects the clustering results

Many clustering algorithms have certain assumptions about the underlying data

Since clustering is often unsupervised, it might be challenging to evaluate the clustering results

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