Non-Negative Matrix Factorization Model Viewer

This selection displays a successfully built feature extraction model that uses the Non-Negative Matrix Factorization (NMF) algorithm. NMF decomposes multivariate data by creating a user-defined number of features, which results in a reduced representation of the original data.

Menus

The following menus appear when the model is displayed in a new window:

Tabs

The model viewer has the following tabs:

Build Settings

This tab displays the Type of the model (Feature Extraction), the Model algorithm (Non-Negative Matrix Factorization), and Algorithm settings.

Oracle Data Mining 11g models can be built using Automatic Data Preparation (ADP). If the model was built using ADP, then Automatic Data Preparation has the value yes.

The following algorithm settings are displayed:

The attributes used to build the model are displayed in the Attributes grid; the following information is displayed for each attribute:

To save the attributes as a file, click the Save As icon (a yellow arrow above a graphic of a page) above the Attributes grid.

Features

To see the features, click the Features tab.

The following summary information is displayed:

The Features are displayed in a grid with the following columns:

The following buttons are displayed:

To save the features as a file, click the Save As icon (a yellow arrow above a graphic of a page) above the Features grid.

Results

To see results, click the Results tab.

The tab contains a tree view of results. To view specific results, select the result and click View. To delete a result, select one or more results and click Delete.

Task

This tab describes the task used to build the model. It shows when the task ran and what input data was used.