Aplicación de técnicas estadísticas multivariadas en perfilación y segmentación

Translated title of the contribution: Use of multivariate statistical techniques in profiling and segmentation

Milton Januario Rueda Varon, Luz Marina Moya Moya, Moisés Aranda Silva

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: To use the information about the factors identified, by means of correspondence analyses to determine the behavior of the variables to be used to then make a natural segmentation, thus facilitating the interpretation and presentation of results. Materials and methods: We present a new profiling and segmentation approach by using correspondence analyses and classification. Results: By using this methodology we can optimize the determination of segments and the profiling of a set of variables. This procedure allows researchers of different disciplines to present and interpret the results of their research efficiently. Conclusions: The procedure here described enables a simple and quick interpretation of the analysis on many variables, rendering its use and implementation easy.

Translated title of the contributionUse of multivariate statistical techniques in profiling and segmentation
Original languageSpanish
Pages (from-to)254-262
Number of pages9
JournalUniversitas Scientiarum
Volume16
Issue number3
DOIs
StatePublished - Dec 2011

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