Shows a plot of the points and clusters in the first two principal components of the data, along with a legend identifying the cluster colors. Circles are drawn around the cluster centers and the size of the circles is proportional to the count inside the cluster. The shaded area is the density contour around the mean. By default, this area indicates where 90% of the observations in that cluster would fall (Mardia et al. 1980). Use the list below the plot to change the plot axes to other principal components. Alternatively, use the arrow button to cycle through all possible axes combinations. An option to save the cluster colors to the data table is also located below the plot. For details, see Save Colors to Table. The eigenvalues are shown in decreasing order.
Shows a three-dimensional biplot of the data. Available only when there are three or more variables.
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.
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.
Adds a formula column called Cluster Formula to the data table. This formula identifies which cluster the row belongs to.
Adds a column called Prob Cluster <k> for each cluster that contains the probability an observation belongs to that cluster.
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.
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:
Adds a column called Mixture Density that contains the estimated density function for the normal mixture to the data table.