SVD Report Options
The SVD red triangle menu contains the following options:
SVD Scatterplot Matrix
Shows or hides a scatterplot matrix of the item and transaction singular value decomposition vectors. You must select the size of the scatterplot matrix when you select this option. This scatterplot matrix enables you to visualize more than the first two dimensions of the singular value decomposition.
Topic Analysis, Rotated SVD
Performs a varimax rotated partial singular value decomposition of the item transaction matrix to produce groups of items called topics. You can select this option multiple times to find different numbers of topics. See Topic Analysis.
Cluster Items
Shows or hides a hierarchical clustering analysis of the items in the data. The following options are available to the right of the dendrogram:
Set Clusters
Specifies the number of clusters that are colored in the dendrogram and used in the Save Clusters option. Points in the Item SVD plot are also colored by cluster.
Save Clusters
Saves a data table that contains the items and their cluster assignments. You must set the number of clusters before clicking Save Clusters.
For more information about clustering and dendrograms, see Dendrogram Report in Multivariate Methods.
Cluster Transactions
Shows or hides a hierarchical clustering analysis of the transactions in the data. The following options are available to the right of the dendrogram:
Set Clusters
Specifies the number of clusters that are colored in the dendrogram and used in the Save Clusters option. Points in the Transaction SVD plot are also colored by cluster.
Save Clusters
Saves a data table that contains the transactions and their cluster assignments. You must set the number of clusters before clicking Save Clusters.
For more information about clustering and dendrograms, see Dendrogram Report in Multivariate Methods.
Save Transaction Singular Vectors
Saves a user-specified number of singular vectors from the transaction singular value decomposition as columns to a new data table where each row corresponds to a transaction. The first two saved columns represent the points plotted in the transaction SVD plot. See Singular Value Decomposition.
Save Item Singular Vectors
Saves a user-specified number of singular vectors from the items singular value decomposition as columns to a new data table where each row corresponds to an item. The first two saved columns represent the points plotted in the item SVD plot. See Singular Value Decomposition.