CATS: Clustering After Transformation and Smoothing
نویسندگان
چکیده
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.
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