Unified Statistical Theory of Spectral Graph Analysis

Autor:	Mukhopadhyay, Subhadeep
Rok vydání:	2016
Předmět:	Mathematics - Statistics Theory Statistics - Methodology Statistics - Machine Learning
Druh dokumentu:	Working Paper
Popis:	The goal of this paper is to show that there exists a simple, yet universal statistical logic of spectral graph analysis by recasting it into a nonparametric function estimation problem. The prescribed viewpoint appears to be good enough to accommodate most of the existing spectral graph techniques as a consequence of just one single formalism and algorithm. Comment: Major changes have been done in terms of contents and structure of the paper. New set of motivations for GraField, Expanding Section 4, Connections with Diffusion map and Google's PageRank method etc
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1602.03861 Zobrazit plný text záznamu View this record from Arxiv