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Hi All, I just posted the results of PCA on the "Rock Type Classification" problem. In addition to the t-SNE algorithm, we can use the PCA technique to visualize the separation of the data points in 2D as well as in 3D. PCA helps in visualizing the data in a low dimension (2D or 3D). The advantage of using PCA is that we can visualize how the data points are spread across the features in our dataset. However, we need to keep in mind that PCA applies to only linearly separable data. PCA coupled with the cluster labels generated by... (More)