Cluster Analysis – Data Mining Technique for Discovering Natural Groupings in the Data

@inproceedings{Pastuchov2013ClusterA,
  title={Cluster Analysis – Data Mining Technique for Discovering Natural Groupings in the Data},
  author={Elena Pastuchov{\'a} and {\vS}tef{\'a}nia V{\'a}clav́ıkov{\'a}},
  year={2013}
}
  • Elena Pastuchová, Štefánia Václav́ıková
  • Published 2013
  • Computer Science
  • Amount of data stored in databases has been growing rapidly. With the technology of pattern recognition and statistical and mathematical techniques sieved across the stored information, data mining helps researchers recognize important facts, relationships, trends, patterns, derogations and anomalies that might otherwise go undetected. One of the major data mining techniques is clustering In this paper some of clustering methods, helpful in many applications, are compared. We assess the… CONTINUE READING
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    SHOWING 1-8 OF 8 REFERENCES
    Comparison of Clustering Methods Applied to Hydrological Data, Forum
    • Statisticum No
    • 2011
    Využitie samooganizujúcich sa máp pri regionálnej typizácii minimálnych prietokov na Slovensku
    • Acta Hydrologica Slovaca No
    • 2011
    Cluster Analysis and its Application in Hydrology
    • Forum Statisticum No
    • 2009
    Enterprise Resource Planner, the third edition, Tata Mc Graw-Hill Publishig
    • 2008
    Self-Organizing Maps, Third Edition
    • T. Kohonen
    • Computer Science
    • Springer Series in Information Sciences
    • 2001
    • 763
    Self-Organizing Map for Data Mining in MATLAB: The SOM Toolbox
    • 93