Department of Statistics Unitmark
Dietrich College of Humanities and Social Sciences

CATS: Clustering After Transformation and Smoothing

Publication Date

February, 2004

Publication Type

Tech Report

Author(s)

Nicoleta Serban and Larry Wasserman

Abstract

CATS - Clustering After Transformation and Smoothing - is a technique for nonparametrically estimating and clustering a large number of curves. Our motivating example is a genetic microarray experiment but the method is very general. The method includes: transformation and smoothing multiple curves, multiple nonparametric testing for trends, clustering curves with similar shape, and nonparametrically inferring the misclustering rate.