Aggregation and Visualization of Fuzzy Clusters Based on Fuzzy Similarity Measures

J. Abonyi, Balázs Feil

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Citations (Scopus)
Original languageEnglish
Title of host publicationAdvances in Fuzzy Clustering and its Applications
PublisherJohn Wiley & Sons, Ltd.
Pages93-121
Number of pages29
ISBN (Print)9780470027608
DOIs
Publication statusPublished - May 11 2007

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Agglomeration
Visualization

Keywords

  • Cluster validity and merging
  • Fuzzy cluster aggregation and visualization
  • Knowledge discovery in databases (KDD)
  • VAT and VCV algorithms
  • Visual assessment of cluster tendency (VAT) method
  • Visual cluster validity (VCV)
  • Visual cluster validity (VCV) algorithm
  • Visualization clustering in real-life clustering problems
  • Visualization of clustering results

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Abonyi, J., & Feil, B. (2007). Aggregation and Visualization of Fuzzy Clusters Based on Fuzzy Similarity Measures. In Advances in Fuzzy Clustering and its Applications (pp. 93-121). John Wiley & Sons, Ltd.. https://doi.org/10.1002/9780470061190.ch5

Aggregation and Visualization of Fuzzy Clusters Based on Fuzzy Similarity Measures. / Abonyi, J.; Feil, Balázs.

Advances in Fuzzy Clustering and its Applications. John Wiley & Sons, Ltd., 2007. p. 93-121.

Research output: Chapter in Book/Report/Conference proceedingChapter

Abonyi, J & Feil, B 2007, Aggregation and Visualization of Fuzzy Clusters Based on Fuzzy Similarity Measures. in Advances in Fuzzy Clustering and its Applications. John Wiley & Sons, Ltd., pp. 93-121. https://doi.org/10.1002/9780470061190.ch5
Abonyi J, Feil B. Aggregation and Visualization of Fuzzy Clusters Based on Fuzzy Similarity Measures. In Advances in Fuzzy Clustering and its Applications. John Wiley & Sons, Ltd. 2007. p. 93-121 https://doi.org/10.1002/9780470061190.ch5
Abonyi, J. ; Feil, Balázs. / Aggregation and Visualization of Fuzzy Clusters Based on Fuzzy Similarity Measures. Advances in Fuzzy Clustering and its Applications. John Wiley & Sons, Ltd., 2007. pp. 93-121
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