2.3k citations · 2.6k across the 5 of their papers we have counts for
6 papers
K-groups: A Generalization of K-means Clustering
Songzi Li, Maria L. Rizzo
We propose a new class of distribution-based clustering algorithms, called k-groups, based on energy distance between samples. The energy distance clustering criterion assigns obse…
Kernel k-Groups via Hartigan's Method
Guilherme França, Maria L. Rizzo, Joshua T. Vogelstein
Energy statistics was proposed by Sz\' ekely in the 80's inspired by Newton's gravitational potential in classical mechanics and it provides a model-free hypothesis test for equali…
Partial Distance Correlation with Methods for Dissimilarities
Gabor J. Szekely, Maria L. Rizzo
Distance covariance and distance correlation are scalar coefficients that characterize independence of random vectors in arbitrary dimension. Properties, extensions, and applicatio…
DISCO analysis: A nonparametric extension of analysis of variance
Maria L. Rizzo, Gábor J. Székely
In classical analysis of variance, dispersion is measured by considering squared distances of sample elements from the sample mean. We consider a measure of dispersion for univaria…
Rejoinder: Brownian distance covariance
Gábor J. Székely, Maria L. Rizzo
Rejoinder to "Brownian distance covariance" by Gábor J. Székely and Maria L. Rizzo [arXiv:1010.0297]
Measuring and testing dependence by correlation of distances
Gábor J. Székely, Maria L. Rizzo, Nail K. Bakirov
Distance correlation is a new measure of dependence between random vectors. Distance covariance and distance correlation are analogous to product-moment covariance and correlation,…