You want to apply clustering to reduce the dimensionality of a dataset, but you also need to interpret the clusters easily. What approaches would you consider?
- All of the Above
- Hierarchical Clustering
- K-Means
- PCA with Clustering
Applying PCA (Principal Component Analysis) with clustering helps in reducing dimensionality while keeping the clusters interpretable, as PCA provides clear directions for the main sources of variance in the data.
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