This function generates a similarity network (SN) for a given embeddings.
Specifically, the function computes K-nearest neighbor (KNN) graphs based
on the provided embedding.
Arguments
- emb
A matrix contains the embedding, with rows correspond to principal
components (PCs) or features, and columns correspond to spatial neighborhoods.
- k
An integer specifying the number of nearest neighbors to consider when constructing the KNN graph.
Default is 50.
Value
A matrix for the similarity network (SN). The rows and columns represent spatial neighborhood,
and the values represent inverted distance.
Details
The function computes a KNN graph using the input embedding and inverts the resulting
distances to similarity scores.
