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rtsne (version 0.0.2)

Tabular input dataset:

Input should have column headers with an identifier column followed by consencutive numerical columns used for clustering

Plot title:

Seed value for reproducibiity:

Set to 42 as default

perplexity:

theta:

The column with the ID to use in grouping (or just an ID if plotting invdividuals):

The column that contains the first numerical data:

Advanced - log transformation:

Legend options:

T-distributed Stochastic Neighbor Embedding implementation by Van der Maaten (see <https://github.com/lvdmaaten/bhtsne/> for more information on the original implementation).

Your data should be in tabular format. Objects in rows will be clustered according to the observations in columns. Labels for objects can be assigned in the tool form by providing the column number of the identifier you wish to use. Additionaly, the first column containing numeric data should be provided to the tool form.