tSNE: 'tSNE'
In Displayr/flipDimensionReduction: Algorithms for dimension reduction
tSNE R Documentation
tSNE
Description
Produce a t-Distributed Stochastic Neighbour Embedding.
Usage
tSNE(data, is.distance = FALSE, perplexity = 10, seed = 1066)
Arguments
data
A numeric data.frame or matrix containing the data to be analyzed.
is.distance
Whether data are a distance matrix between points or a
numeric data.frame of cases by row and features by column.
perplexity
The perplexity coefficient which defines the extent of the locality
of the dimension reduction.
seed
Random seed.
Details
If input is not a distance matrix, there must be no missing data or duplicates.
Displayr/flipDimensionReduction documentation built on Aug. 19, 2024, 9:29 p.m.
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| tSNE | R Documentation |
tSNE
Description
Produce a t-Distributed Stochastic Neighbour Embedding.
Usage
tSNE(data, is.distance = FALSE, perplexity = 10, seed = 1066)
Arguments
data |
A numeric |
is.distance |
Whether |
perplexity |
The perplexity coefficient which defines the extent of the locality of the dimension reduction. |
seed |
Random seed. |
Details
If input is not a distance matrix, there must be no missing data or duplicates.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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