Publication | Open Access
A program for numerical classification
57
Citations
0
References
1970
Year
Numerical AnalysisBest Information MeasureEngineeringMachine LearningAlgol ProgramText MiningClassification MethodNumerical ClassificationInformation RetrievalData ScienceData MiningPattern RecognitionManagementDocument ClassificationStatisticsAutomatic ClassificationKnowledge DiscoveryIntelligent ClassificationComputer ScienceInformation ManagementInformation MeasureData ClassificationClassification
In a previous paper (Wallace & Boulton, 1968) the information measure was derived. It is designed to measure the objective goodness of a nonhierarchical taxonomic classification and can be used to choose the best of a number of different classifications of the one data set. The information measure can also form the basis of a classification algorithm which searches directly for that classification with the best information measure. In the present paper such a classification algorithm is described together with an ALGOL program called Snob incorporating this algorithm.