k-Means Model Options

Model name. You can generate the model name automatically based on the target or ID field (or model type in cases where no such field is specified) or specify a custom name.

Unique field. Specifies the field used to uniquely identify each case. For example, this might be an ID field, such as CustomerID. IBM® SPSS® Modeler imposes a restriction that this key field must be numeric.

Note: This field is optional for all Oracle nodes except Oracle Adaptive Bayes, Oracle O-Cluster and Oracle Apriori.

Auto Data Preparation. (11g only) Enables (default) or disables the automated data preparation mode of Oracle Data Mining. If this box is checked, ODM automatically performs the data transformations required by the algorithm. For more information, see Oracle Data Mining Concepts.

Number of clusters. Sets the number of generated clusters

Distance Function. Specifies which distance function is used for k-Means Clustering.

Split criterion. Specifies which split criterion is used for k-Means Clustering.

Normalization Method. Specifies the normalization method for continuous input and target fields. You can choose Z-Score, Min-Max, or None.