update_similarity: Update Similarity Matrix S

In bbuchsbaum/discursive: What the Package Does (One Line, Title Case)

Update Similarity Matrix S

Description

Update the similarity matrix S using the optimal subspace projection W.

Usage

update_similarity(X, W, k, r, epsilon = 1e-10)

Arguments

X	Data matrix of size n x d (n samples, d features).
W	Transformation matrix (d x ncomp).
k	Number of neighbors.
r	Parameter r controlling the influence of distances (should be > 1).
epsilon	Small constant to avoid division by zero (default is 1e-10).

Value

Updated similarity matrix S (n x n).

bbuchsbaum/discursive documentation built on April 14, 2025, 4:57 p.m.