On Tue, Dec 3, 2013 at 9:34 AM, Prabhakar Srinivasan < [email protected]> wrote:
> Hello! > Can someone point me to some explanatory documentation for Outlier > Detection & Removal in Clustering in Mahout. I am unable to understand the > internal mechanism of outlier detection just by reading the Javadoc: > clusterClassificationThreshold Is a clustering strictness / outlier removal > parameter. Its value should be between 0 and 1. Vectors having pdf below > this value will not be clustered. > > What does the pdf represent? > i don't really in the context of Mahout implementation of this, but i'd venture to go on a limb and say pdf value = value of probability density function for that data point (in outlier detection one usually estimates distribution of the data with some multidimensional density estimation technique involving kernel functions and then just removes highly improbable values). > Thanks > Prabhakar >
