Exemplary Applications of the Complete Gradient Clustering Algorithm in Bioinformatics, Management and Engineering

  • Piotr Kulczycki
  • Malgorzata Charytanowicz
  • Piotr A. Kowalski
  • Szymon Łukasik
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 530)

Abstract

This publication deals with the applicational aspects and possibilities of the Complete Gradient Clustering Algorithm—the classic procedure of Fukunaga and Hostetler, prepared to a ready-to-use state, by providing a full set of procedures for defining all functions and the values of parameters. Moreover, it describes how a possible change in those values influences the number of clusters and the proportion between their numbers in dense and sparse areas of data elements. The possible uses of these properties were illustrated in practical tasks from bioinformatics (the categorization of grains for seed production), management (the design of a marketing support strategy for a mobile phone operator) and engineering (the synthesis of a fuzzy controller).

Keywords

Exploratory data analysis Clustering Nonparametric methods  Kernel estimators Seed production  Mobile phone operator Fuzzy controller 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Piotr Kulczycki
    • 1
    • 2
  • Malgorzata Charytanowicz
    • 1
    • 3
  • Piotr A. Kowalski
    • 1
    • 2
  • Szymon Łukasik
    • 1
    • 2
  1. 1.Centre of Information Technology for Data Analysis Methods, Systems Research InstitutePolish Academy of SciencesWarsawPoland
  2. 2.Department of Automatic Control and Information TechnologyCracow University of TechnologyCracowPoland
  3. 3.Institute of Mathematics and Computer ScienceJohn Paul II Catholic University of LublinLublinPoland

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