fftRtsne | R Documentation |
Wraper for running FIt-SNE. Code from KlugerLab (https://github.com/KlugerLab/FIt-SNE)
fftRtsne( X, dims = 2, perplexity = 30, theta = 0.5, max_iter = 1000, fft_not_bh = TRUE, ann_not_vptree = TRUE, stop_early_exag_iter = 250, exaggeration_factor = 12, no_momentum_during_exag = FALSE, start_late_exag_iter = -1, late_exag_coeff = 1, mom_switch_iter = 250, momentum = 0.5, final_momentum = 0.8, learning_rate = 200, n_trees = 50, search_k = -1, rand_seed = -1, nterms = 3, intervals_per_integer = 1, min_num_intervals = 50, K = -1, sigma = -30, initialization = NULL, data_path = NULL, result_path = NULL, out_prefix = NULL, load_affinities = NULL, fast_tsne_path = NULL, nthreads = 0, perplexity_list = NULL, get_costs = FALSE, df = 1 )
X |
matrix; samples in rows and variables in columns |
dims |
integer; dimentionality of the returned matrix |
perplexity |
double; perplexity parameter of tSNE (effective nearest neighbours) |
theta |
double; theta |
max_iter |
integer; max_iter |
fft_not_bh |
logical; fft_not_bh (default: TRUE) |
ann_not_vptree |
logical; (default: TRUE) |
stop_early_exag_iter |
integer; (default 250) |
exaggeration_factor |
double; |
no_momentum_during_exag |
logical; |
start_late_exag_iter |
double; |
late_exag_coeff |
double; |
mom_switch_iter |
double; |
momentum |
double; |
final_momentum |
double; |
learning_rate |
double; |
n_trees |
integer; |
search_k |
double; |
rand_seed |
double; |
nterms |
integer; |
intervals_per_integer |
integer; |
min_num_intervals |
integer; |
K |
integer; |
sigma |
double; |
initialization |
matrix |
data_path |
character; |
result_path |
character; |
out_prefix |
character; temporary files prefix for fast_tsne (default: NULL) |
load_affinities |
character; |
fast_tsne_path |
character; full path of the installed fast_tsne programe (default: NULL) |
nthreads |
integer; number of threads (default: 0) |
perplexity_list |
list; |
get_costs |
logical; |
df |
numeric; |
Run FIt-SNE
a matrix with samples in rows and tSNE coordinate in columns
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