The objective of this work is to provide tools to be used for the classification of ordinal categorical distributions. To demonstrate how to do it, we propose an Homogeneity (HI) and Location (LI) Index to measure the concentration and central value of an ordinal categorical distribution.
python diversity r clustering peer-group geospatial population index descriptive-statistics classification-algorithm polarization classifcation diversity-measures central-tendency homogeneity gini-index ordinal-categorical-distributions homogeneous-socioeconomic-areas decile-categories concentration-measurement
- Updated
- R