K Means, Kernel Trick, Clustering, Unsupervised Clustering, Data Science.
inner products between the images of all pairs of data in the feature space. This operation is often computationally cheaper than the explicit computation of the coordinates. This approach is called the “kernel trick.”² In other words, kernel methods allow us to get the result of XᵀX where X may be