compute_snns | R Documentation |
Computing and including the shared nearest-neighbor (SNN) graphs
for each modality and the target common manifold
for an existing multiSVD
object
compute_snns(
input_obj,
latent_k,
num_neigh,
bool_cosine = T,
bool_intersect = T,
min_deg = 1,
tol = 1e-04,
verbose = 0
)
input_obj |
|
latent_k |
number of latent dimensions for the graph Laplacian bases |
num_neigh |
number of neighbors for each cell, when constructing the SNN graphs |
bool_cosine |
boolean, for using cosine distance if |
bool_intersect |
boolean, on whether or not to symmetrize (via the AND function) the SNN |
min_deg |
minimum degree of each cell in the SNN |
tol |
small positive number |
verbose |
non-negative integer |
updated multiSVD
object
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