SNF with custom weights for each data type.
Usage
run_wsnf(
data,
n_clusters,
weights = NULL,
n_neighbors = 20,
sigma = 0.5,
n_iterations = 20
)
Arguments
- data
List of matrices (features x samples).
- n_clusters
Number of clusters.
- weights
Numeric vector of weights for each data type.
- n_neighbors
Number of neighbors (default: 20).
- sigma
Kernel bandwidth (default: 0.5).
- n_iterations
SNF iterations (default: 20).
Value
Data frame with cluster assignments.