Auto-classifying the documents in your search collection by sampling those documents and
deriving classes from those samples is the default auto-classification method. To use this
method
Procedure
Leave the Create from Data Sampling radio button selected
Optionally modify any of the following fields:
Number of Levels - The number of levels of the classification/clustering tree
to compute during the initial sampling run. Increasing this value will increase the
amount of time required to create the initial set of clusters.
Number of Classes - Classes are created by taking random samples of the data,
getting clusters from those samples, and using some of the clusters as classes. This
happens in accordance with a few different settings. This slider varies the settings
in order to make it more likely that there will be a few or many classes.
For the
first time sampling a particular data set, try sampling with the slider in the
middle and based on the classes you get, try sampling again with the slider varied
according to what you would like in relation to that baseline.
After selecting a classification method and supplying the values that it requires
Click Start Sampling if you are using the Create from Data Sampling
method
Or click Import if you are importing an existing taxonomy.
