Hello I am using Mahout 0.7 currently and this question is pertaining to that version. I am using Canopy clustering (CanopyDriver class) first to determine the optimal number of clusters that best fits the dataset and passing that information as parameter to Kmeans clustering (kmeansDriver class).
Regards Prabhakar On Tue, Dec 3, 2013 at 6:00 PM, Ted Dunning <[email protected]> wrote: > Can you be more specific about which code you are asking about? > > The ball k-means implementation provides a capability somewhat like this, > but perhaps in a more clearly defined way. > > > 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? > > > > Thanks > > Prabhakar > > >
