Reverse clustering : formulation, interpretation and case studies
Bibliographische Detailangaben
- Titel
- Reverse clustering formulation, interpretation and case studies
- verantwortlich
- ; ; ; ;
- Schriftenreihe
- Studies in computational intelligence ; volume 957
- veröffentlicht
- Erscheinungsjahr
- 2021
- Teil von
- Studies in computational intelligence ; volume 957
- Andere Ausgaben
-
Reverse clustering: formulation, interpretation and case studies
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- Zusammenfassung
- Intro -- Preface -- Introduction -- Contents -- List of Figures -- List of Tables -- 1 The Concept of Reverse Clustering -- 1.1 The Concept -- 1.2 The Notation -- 1.3 The Elements of Vector Z: The Dimensions of the Search Space -- 1.4 The Criterion: Maximising the Similarity Between Partitions PA and PB -- 1.5 The Search Procedure -- References -- 2 Reverse Clustering-The Essence and The Interpretations -- 2.1 The Background and the Broad Context -- 2.2 Some More Specific Related Work -- 2.3 The Interpretations -- References -- 3 Case Studies: An Introduction -- 3.1 A Short Characterisation of the Cases Studied -- 3.2 The Interpretations of the Cases Treated -- References -- 4 The Road Traffic Data -- 4.1 The Setting -- 4.2 The Experiments -- 4.3 Conclusions -- References -- 5 The Chemicals in the Natural Environment -- 5.1 The Data and the Background -- 5.2 The Procedure: Determining the Partition PA -- 5.3 The Procedure: Reverse Clustering -- 5.4 Discussion and Conclusions -- References -- 6 Administrative Units, Part I -- 6.1 The Background: Polish Administrative Division and the Province of Masovia -- 6.2 The Data -- 6.3 The Analysis Regarding the Administrative Categorization of Municipalities -- 6.4 A Verification -- 6.5 The Analysis Regarding the Functional Categorization of Municipalities -- 6.6 Conclusions and Discussion -- References -- 7 Administrative Units, Part II -- 7.1 The Background -- 7.2 The Computational Experiments -- 7.3 Discussion and Conclusions -- References -- 8 Academic Examples -- 8.1 Introduction -- 8.2 Fisher's Iris Data -- 8.3 Artificial Data Sets -- 8.4 Conclusions -- References -- 9 Summary and Conclusions -- 9.1 Interpretation and Use of Results -- 9.2 Some Final Observations -- Reference.
- Umfang
- 1 Online-Ressource (xvii, 101 Seiten)
- Sprache
- Englisch
- Schlagworte
- RVK-Notation
-
- Informatik
-
- Monografien
-
- Software und -entwicklung
-
- Datenstruktur, Datenorganisation
- BK-Notation
- 54.72 Künstliche Intelligenz
- DDC-Notation
- 006.3
- ISBN
-
9783030693596