Multivariate Methods • Normal Mixtures • Normal Mixtures NCluster=<k> Report • Normal Mixtures NCluster=<k> Report Options
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Normal Mixtures NCluster=<k> Report Options
Biplot
Shows a plot of the points and clusters in the first two principal components of the data. Circles are drawn around the cluster centers. The size of the circles is proportional to the count inside the cluster. The shaded area is the 50% density contour around the mean, and indicates where 50% of the observations in that cluster would fall (Mardia et al., 1980). Below the plot is an option to save the cluster colors to the data table. The eigenvalues are shown in decreasing order.
Note: If Columns Scaled Individually is checked in the launch window, the biplot uses a correlation matrix. If Columns Scaled Individually is not checked, the biplot uses a covariance matrix.
Biplot Options
Contains options for controlling the appearance of the Biplot.
Show Biplot Rays
Shows the biplot rays. The labeled rays show the directions of the covariates in the subspace defined by the principal components. They represent the degree of association of each variable with each principal component.
Biplot Ray Position
Enables you to specify the position and radius scaling of the biplot rays. By default, the rays emanate from the point (0,0). In the plot, you can drag the rays or use this option to specify coordinates. You can also adjust the scaling of the rays to make them more visible with the radius scaling option.
Mark Clusters
Assigns markers that identify the clusters to the rows of the data table.
Biplot 3D
Shows a three-dimensional biplot of the data. Available only when there are three or more variables.
Parallel Coord Plots
Creates a parallel coordinate plot for each cluster. The plot report has options for showing and hiding the data and means. For details, see Parallel Plots in the Essential Graphing book.
Scatterplot Matrix
Creates a scatterplot matrix in a separate window, using all the variables.
Save Colors to Table
Assigns colors that identify the clusters to the rows of the data table.
Save Clusters
Adds a column called Cluster that contains the number of the cluster to which the given row is assigned to the data table. For normal mixtures, this is the cluster that is most likely.
Save Cluster Formula
Adds a formula column called Cluster Formula to the data table. This formula identifies which cluster the row belongs to. (Not available for Robust Normal Mixtures.)
Save Mixture Probabilities
Adds a column called Prob Cluster <k> for each cluster that contains the probability an observation belongs to that cluster.
Save Mixture Formulas
Adds columns to the data table that contain the formulas used to calculate the mixture probabilities. Use these formula columns to score probabilities for excluded data, or data that you add to the table.
Dist Formula <k>
The estimated multivariate normal density function for Cluster <k> evaluated at the observation.
Dist Total
The sum of the distance formula columns. The formula in this column is equivalent to the formula in the Mixture Density column created by the Save Density Formula option.
Prob Formula <k>
The probability that the observation belongs to Cluster <k>. These columns contain the formulas that give the values in the Prob Cluster <k> columns created by the Save Mixture Probabilities option. The column formula for calculating the mixture probabilities is:
Save Density Formula
(Not available for Robust Normal Mixtures) Adds a column called Mixture Density that contains the estimated density function for the normal mixture to the data table.
Simulate Clusters
Uses the mixture density to simulate predictor values. Saves these and the clusters into which they are classified in a new data table.
Remove
Removes the clustering report.

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Help created on 9/19/2017