Cluster Analysis of Economic Datas
In the paper, some classical and recent approaches to cluster analysis are discussed. Over the last decades researchers focused mainly on categorical data clustering, uncertainty in cluster analysis and clustering large data sets. In this paper some of the recently proposed techniques are introduced...
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| Format: | Article |
| Language: | English |
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Czech Statistical Office
2014-03-01
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| Series: | Statistika: Statistics and Economy Journal |
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| Online Access: | http://www.czso.cz/csu/2014edicniplan.nsf/engc/A800468D07/$File/32019714q1073.pdf |
| _version_ | 1818281140222427136 |
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| author | Hana Řezanková |
| author_facet | Hana Řezanková |
| author_sort | Hana Řezanková |
| collection | DOAJ |
| description | In the paper, some classical and recent approaches to cluster analysis are discussed. Over the last decades researchers focused mainly on categorical data clustering, uncertainty in cluster analysis and clustering large data sets. In this paper some of the recently proposed techniques are introduced, such as similarity measures for data files with nominal variables, algorithms which include uncertainty in clustering, and the method for data files with many objects. |
| first_indexed | 2024-12-13T00:00:23Z |
| format | Article |
| id | doaj.art-95d2a6e2328f4304af65e8682ef09866 |
| institution | Directory Open Access Journal |
| issn | 1804-8765 1804-8765 |
| language | English |
| last_indexed | 2024-12-13T00:00:23Z |
| publishDate | 2014-03-01 |
| publisher | Czech Statistical Office |
| record_format | Article |
| series | Statistika: Statistics and Economy Journal |
| spelling | doaj.art-95d2a6e2328f4304af65e8682ef098662022-12-22T00:06:26ZengCzech Statistical OfficeStatistika: Statistics and Economy Journal1804-87651804-87652014-03-019417386Cluster Analysis of Economic DatasHana Řezanková0University of Economics, Prague, Czech RepublicIn the paper, some classical and recent approaches to cluster analysis are discussed. Over the last decades researchers focused mainly on categorical data clustering, uncertainty in cluster analysis and clustering large data sets. In this paper some of the recently proposed techniques are introduced, such as similarity measures for data files with nominal variables, algorithms which include uncertainty in clustering, and the method for data files with many objects.http://www.czso.cz/csu/2014edicniplan.nsf/engc/A800468D07/$File/32019714q1073.pdfCluster analysissimilarity measureshierarchical clusteringk-clusteringfuzzy clusteringlarge data sets |
| spellingShingle | Hana Řezanková Cluster Analysis of Economic Datas Statistika: Statistics and Economy Journal Cluster analysis similarity measures hierarchical clustering k-clustering fuzzy clustering large data sets |
| title | Cluster Analysis of Economic Datas |
| title_full | Cluster Analysis of Economic Datas |
| title_fullStr | Cluster Analysis of Economic Datas |
| title_full_unstemmed | Cluster Analysis of Economic Datas |
| title_short | Cluster Analysis of Economic Datas |
| title_sort | cluster analysis of economic datas |
| topic | Cluster analysis similarity measures hierarchical clustering k-clustering fuzzy clustering large data sets |
| url | http://www.czso.cz/csu/2014edicniplan.nsf/engc/A800468D07/$File/32019714q1073.pdf |
| work_keys_str_mv | AT hanarezankova clusteranalysisofeconomicdatas |