d_TSNE | R Documentation |
Perform t-SNE decomposition using Rtsne::Rtsne
d_TSNE(
x,
k = 3,
initial.dims = 50,
perplexity = 15,
theta = 0,
check.duplicates = TRUE,
pca = TRUE,
max.iter = 1000,
scale = FALSE,
center = FALSE,
is.distance = FALSE,
verbose = TRUE,
outdir = "./",
...
)
x |
Input matrix |
k |
Integer. Number of t-SNE components required |
initial.dims |
Integer: Number of dimensions to retain in initial PCA. Default = 50 |
perplexity |
Numeric: Perplexity parameter |
theta |
Float: 0.0: exact TSNE. Increase for higher speed, lower accuracy. Default = 0 |
check.duplicates |
Logical: If TRUE, Checks whether duplicates are present. Best to set test manually |
pca |
Logical: If TRUE, perform initial PCA step. Default = TRUE |
max.iter |
Integer: Maximum number of iterations. Default = 1000 |
scale |
Logical: If TRUE, scale before running t-SNE using |
center |
Logical: If TRUE, and |
is.distance |
Logical: If TRUE, |
verbose |
Logical: If TRUE, print messages to output |
outdir |
Path to output directory |
... |
Options for |
rtDecom
object
E.D. Gennatas
Other Decomposition:
d_H2OAE()
,
d_H2OGLRM()
,
d_ICA()
,
d_Isomap()
,
d_KPCA()
,
d_LLE()
,
d_MDS()
,
d_NMF()
,
d_PCA()
,
d_SPCA()
,
d_SVD()
,
d_UMAP()
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