label_prop: Label propagation

In metasnf: Meta Clustering with Similarity Network Fusion

Label propagation

Description

Given a full fused network (one containing both pre-clustered observations and to-be-clustered observations) and the clusters of the pre-clustered observations, return a label propagated list of clusters for all observations. This function is derived from SNFtool::groupPredict. Modifications are made to take a full fused network as input, rather than taking input data frames and running SNF internally. This ensures that alternative approaches to data normalization and distance matrix calculations can be chosen by the user.

Usage

label_prop(full_fused_network, clusters)

Arguments

full_fused_network	A network made by running SNF on training and test observations together.
clusters	A vector of assigned clusters for training observations in matching order as they appear in full_fused_network.

Value

A list of cluster labels for all observations.

metasnf documentation built on April 3, 2025, 5:40 p.m.