Introduction

K-Means Clustering creates models based on analytical clustering, which segments a set of records into clusters of similar records based on data values.

To create your model, you must first complete the Model Properties tab. The Basic Options and Advanced Options tabs provide sufficient default settings to complete a job, but you can alter those settings to meet your needs. You then run your job and a limited version of the resulting model output details appears on the Model Output tab. The model is stored on the Spectrum Technology Platform server and the complete output is available in the Machine Learning Model Management tool.