K Means, Kernel Trick, Clustering, Unsupervised Clustering, Data Science.
project our data into a higher dimensional space to achieve linear separability and solve the K-Means problem in a more efficient way. Figure 13: Example data points for clustering. Where the left is non-linearly separable, and the right is linearly separable Visualization to understand how