search for: nnclust

Hello, pardon my ingorance, but what distance metric is used in this function in the nnclust package? The manual only says: "Find the nearest neighbours of points in one data set from another data set. Useful for Mallows-type distance metrics." BR, Jay

...What I want to do is quite simple, but I can't find a way. I have a data frame with several points (x and y coords). I want to add another column with cluster membership. For example aggregate all the points that stand within a distance of 40 from each other. I've tried using "nncluster" from the package nnclust, but the results are not correct, for some reason (probably my mistake). This is what I did: x <- nncluster(as.matrix(dframe[,1:2]), threshold=35, fill = 1, maxclust = NULL, give.up = 500,verbose=FALSE,start=NULL)#avaliar as clusters Thanks, Fred...

...east one exception to this. Single-linkage hierarchical clustering with a convex distance such as Euclidean distance is feasible for quite large data sets using algorithms for the Euclidean minimum spanning tree. For tens to hundreds of thousands of points (flow cytometry data) the algorithm in the nnclust package is competitive in speed with model-based clustering (on a 32-bit system). It's slower than pam(), but it is deterministic. This doesn't apply to the original question, of course. -thomas

...e SDWA's Multi-Objective Multi-Reservoir Management research programme (R-264-001-272). * nlreg (1.1-3) Alessandra R. Brazzale http://crantastic.org/packages/nlreg Likelihood inference based on higher order approximations for nonlinear models with possibly non constant variance * nnclust (2.1) Thomas Lumley http://crantastic.org/packages/nnclust Finds nearest neighours and the minimum spanning tree for large data sets, does clustering using the minimum spanning tree. * phybase (1.1) Liang Liu http://crantastic.org/packages/phybase This package provides functions to...