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I was wondering if there is a way in R to find k nearest neighbors of various orders, say order 2, 3, or 4. In otherwords neighbors of neighbors of neighbors. You get the idea. I know that I can use knearneigh(matrix.data, k) but this only gives me the k nearest neighbors and not of a particular order. Thanks in advance. -- View this message in context:

I am attempting to write what MATLAB does as : [S,A]= shaperead() which returns an N by 1 geographic array structure S containing geometric information, and a paralell N by 1 attribute structure array, A containing feature attribute information. How can this be done with R code I tried using shp<-readShapePoints() but this doesnt return the same structure that I am looking for. Please

I was wondering if there was an R equivalent to the two phased approach that MATLAB uses in performing the Kmeans algorithm. If not is there away that I can determine if the kmeans in R and the kmeans in MATLAB are essentially giving me the same clustering information within a small amount of error? -- View this message in context: