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  • V tomto příspěvku jsou porovnávány a vyhodnocovány metody shlukování, které využívají přírodou inspirované koncepty. (cs)
  • In this paper we compare and evaluate the use of clustering approaches that use nature inspired concepts. The following methods are considered: Ant Colony inspired Clustering, Ant Colony inspired method for Decision Tree generation, Radial Basis Function Neural Networks with different learning algorithms. We compare the nature inspired methods to classical approaches, such as hierarchical clustering and k-means. The best-performing method over the whole dataset has been agglomerative hierarchical clustering (Se=94.3, Sp=74.1), however it is practically unusable as it is memory and computational demanding. Acceptable results (complexity vs. error) have been obtained by the Ant-Colony inspired method for Decision tree generation (Se=93.1, Sp=72.8).
  • In this paper we compare and evaluate the use of clustering approaches that use nature inspired concepts. The following methods are considered: Ant Colony inspired Clustering, Ant Colony inspired method for Decision Tree generation, Radial Basis Function Neural Networks with different learning algorithms. We compare the nature inspired methods to classical approaches, such as hierarchical clustering and k-means. The best-performing method over the whole dataset has been agglomerative hierarchical clustering (Se=94.3, Sp=74.1), however it is practically unusable as it is memory and computational demanding. Acceptable results (complexity vs. error) have been obtained by the Ant-Colony inspired method for Decision tree generation (Se=93.1, Sp=72.8). (en)
Title
  • Nature Inspired Concepts in Long-Term Electrocardiogram Clustering
  • Použití přírodou inspirovaných konceptů při shlukování dlouhodobých záznamů EKG (cs)
  • Nature Inspired Concepts in Long-Term Electrocardiogram Clustering (en)
skos:prefLabel
  • Nature Inspired Concepts in Long-Term Electrocardiogram Clustering
  • Použití přírodou inspirovaných konceptů při shlukování dlouhodobých záznamů EKG (cs)
  • Nature Inspired Concepts in Long-Term Electrocardiogram Clustering (en)
skos:notation
  • RIV/68407700:21230/08:03151590!RIV09-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 381811
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/08:03151590
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • ant colony optimization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [69DB7535DA7D]
http://linked.open...v/mistoKonaniAkce
  • Antwerp
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • IFMBE Proceedings
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Burša, Miroslav
  • Lhotská, Lenka
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 1680-0737
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-540-89207-6
http://localhost/t...ganizacniJednotka
  • 21230
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