A New Variable Weighting and Selection Procedure for K-means Cluster Analysis |
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Authors: | Douglas Steinley Michael J Brusco |
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Institution: | 1. University of Missouri-Columbia;2. Florida State University |
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Abstract: | A variance-to-range ratio variable weighting procedure is proposed. We show how this weighting method is theoretically grounded in the inherent variability found in data exhibiting cluster structure. In addition, a variable selection procedure is proposed to operate in conjunction with the variable weighting technique. The performances of these procedures are demonstrated in a simulation study, showing favorable results when compared with existing standardization methods. A detailed demonstration of the weighting and selection procedure is provided for the well-known Fisher Iris data and several synthetic data sets. |
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