K Means, Kernel Trick, Clustering, Unsupervised Clustering, Data Science.
often would like to project our data into a higher dimensional space to make the resulting clusters linearly separable. Projecting to a higher dimension directly and calculating the objective for K-Means can be computationally expensive, as this requires calculating XᵀX. Kernel trick allows us to