Determines which two segments to merge.
find.closest(K, ret)Returns a vector with 3 components. The first two indicate which segments are to be merged. The third is the new goodness of fit statistics.
Integer indicating the progress of the agglomerative process.
A list with 'open', 'N', and 'right' components
Nicholas A. James
This method is called by the e.agglomerative method, and should not be called by the user.
James NA, Matteson DS (2013). A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data.
Nicholas A. James, David S. Matteson (2014). "ecp: An R Package for Nonparametric Multiple Change Point Analysis of Multivariate Data.", "Journal of Statistical Software, 62(7), 1-25", URL "http://www.jstatsoft.org/v62/i07/"
Rizzo ML, Szekely GL (2005). Hierarchical clustering via joint between-within distances: Extending ward's minimum variance method. Journal of Classification. pp. 151 - 183.
e.agglo