knnGraph: Convert a 'data.frame' or 'matrix' into a k-NN graph or...
In SemiSupervised: Safe Semi-Supervised Learning Tools

Description Usage Arguments Author(s) See Also

These functions are designed to convert data sets or distance matrices to graphs. In addition, the Cosine and Euclidean distance functions are also available. The kgraph functions build a knn graph off of a distance matrix (either square (symm) or non-square (predict))

knnGraph(x,y,k=6L,nok=FALSE,metric="cosine")
epsGraph(x,y,eps=0.2,noeps=FALSE,metric="cosine")
cosineDist(x,y=NULL)
euclidDist(x,y=NULL)

`x`	an object of type ‘matrix’.
`k`	the lower bound to the number of neighbors for a k-NN graph.
`eps`	neighborhood radius for an epsilon graph.
`nok`	the parameter k is ignored.
`noeps`	the parameter eps is ignored.
`metric`	the metric to used to compute distances.
`y`	a m x p ‘matrix’. If NULL distances between argument x and x are computed.