Skip to contents

mds_from_knn

mds_from_knn.Rd

Compute MDS Embedding from a kNN Graph

Usage

mds_from_knn(adj, n_components = 15)

Arguments

adj

A sparse adjacency matrix (class `dgCMatrix`) representing a kNN graph.

n_components

Integer. Number of MDS dimensions to return (default: 15).

Value

A data frame of size (nodes × `n_components`) with column names `mds_1`, `mds_2`, ..., and rownames from `adj`.

Details

Computes a multi-dimensional scaling (MDS) embedding from a filtered adjacency matrix representing a kNN graph. Requires a Python-based backend function (e.g., `mds_from_knn_py()`) to perform the embedding.