CATS: Clustering After Transformation and Smoothing
Nicoleta Serban and Larry Wasserman
CATS - Clustering After Transformation and Smoothing - is a technique
for nonparametrically estimating and clustring 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 nonparametriclaly inferring
the misclustering rate.
Keywords: Multiple testing, False discovery rate, clustering,
misclustering, smoothing, genetic microarrays.