RNN.Construction {HGC} | R Documentation |
This function builds an ε Nearest Neighbor graph in the input feature space using Euclidean distance metric.
RNN.Construction(mat, max_dist)
mat |
the input data saved as a numerical matrix. The columns are the features and the rows are the samples. |
max_dist |
the threshold distance. The edges whose lengths are less than
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The function builds an ε Nearest Neighbor graph which saved as a sparse matrix.
An n by n binary dgCMatrix object C, where n is the number of input samples. The matrix C is the adjacency matrix of the built RNN graph. C[i,j] = 1 means that there is an edge between sample i and sample j.
data(Pollen) Pollen.PCs <- Pollen[["PCs"]] G <- RNN.Construction(Pollen.PCs, 20)