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Multivariate Methods > Multivariate Embedding > The Multivariate Embedding Report
Publication date: 06/21/2023

Image shown hereThe Multivariate Embedding Report

The Multivariate Embedding report window contains two sections: a plot and a table. These sections of the report enable you to visualize the low-dimensional space as well as review the iterations of the computations.

The form of the plot in the report depends on the number of dimensions specified in the Output Dimensions option in the launch window. If two dimensions are specified, the t-SNE Plot report appears. If three or more dimensions are specified, the 3D Plot report appears. These reports show a scatterplot in two or three dimensions of the first two or three t-SNE component scores for each observation, respectively.

The Iteration History table contains statistics from the computation iterations. Each row represents the values at the end of 100 successive iterations. The Iteration History table contains the following columns:

Iteration

The iteration number.

Cost

The value of the cost function at the corresponding iteration. This is the sum of the Kullback-Leibler divergences over all data points.

Max Gradient

The maximum value of the gradient over all data points at the corresponding iteration.

For more information about the columns in the Iteration History table, see Statistical Details for the Gradient Descent Algorithm.

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