About: Comparison Of Modern Clustering Algorithms For Two-Dimensional Data     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Cluster analysis or clustering is a task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is the main task of exploratory data mining and a common technique for statistical data analysis used in many fields, including machine learning, pattern recognition, image analysis, information retrieval, and bioinformatics.The topic of this paper is modern methods of clustering. The paper describes the theory needed to understand the principle of clustering and descriptions of algorithms used with clustering, followed by a comparison of the chosen methods.
  • Cluster analysis or clustering is a task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is the main task of exploratory data mining and a common technique for statistical data analysis used in many fields, including machine learning, pattern recognition, image analysis, information retrieval, and bioinformatics.The topic of this paper is modern methods of clustering. The paper describes the theory needed to understand the principle of clustering and descriptions of algorithms used with clustering, followed by a comparison of the chosen methods. (en)
Title
  • Comparison Of Modern Clustering Algorithms For Two-Dimensional Data
  • Comparison Of Modern Clustering Algorithms For Two-Dimensional Data (en)
skos:prefLabel
  • Comparison Of Modern Clustering Algorithms For Two-Dimensional Data
  • Comparison Of Modern Clustering Algorithms For Two-Dimensional Data (en)
skos:notation
  • RIV/61988987:17310/14:A1501BBF!RIV15-MSM-17310___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
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
  • 8138
http://linked.open...ai/riv/idVysledku
  • RIV/61988987:17310/14:A1501BBF
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Cluster analysis; DBSCAN; K-Means; Self Organising Map Algorithm. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [B55A91F0AF1B]
http://linked.open...v/mistoKonaniAkce
  • Brescia, Italy
http://linked.open...i/riv/mistoVydani
  • Sbr.-Dudweiler, Germany
http://linked.open...i/riv/nazevZdroje
  • PROCEEDINGS 28th European Conference on Modelling and Simulation ECMS 2014
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Volná, Eva
  • Kotyrba, Martin
  • Komínková Oplatková, Zuzana
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • European Council for Modelling and Simulation
https://schema.org/isbn
  • 978-0-9564944-8-1
http://localhost/t...ganizacniJednotka
  • 17310
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software