Martín Sánchez-Signorini

Kernel $$K$$-Means Clustering of Distributional Data

Abstract We consider the problem of clustering a sample of probability distributions from a random distribution on $$\mathbb R^d$$ R d . Our proposed partitioning method makes use of a symmetric, positive-definite kernel $$k$$ k and its associated reproducing kernel Hilbert space...