A HIERARCHICAL CLUSTER ANALYSIS AND SIMULATION OF STATE CAPITALS IN NIGERIA FOR TOURISM EXPLORATION

Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/13620

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DC Field	Value	Language
dc.contributor.author	Audu, Isah	-
dc.contributor.author	Usman, Abdullahi	-
dc.contributor.author	Victor, O.Waziri	-
dc.date.accessioned	2021-08-18T10:47:49Z	-
dc.date.available	2021-08-18T10:47:49Z	-
dc.date.issued	2013-02	-
dc.identifier.issn	2278-5299	-
dc.identifier.uri	http://repository.futminna.edu.ng:8080/jspui/handle/123456789/13620	-
dc.description.abstract	In this paper we conducted hierarchical cluster analysis with multiscale bootstrap resampling technique using average linkage method and correlation based dissimilarity matrix to classify state capitals according to their distances by Road from Federal capital, Abuja to the respective state capitals. The R package pvclust was used to assess the uncertainty in hierarchical clustering results. This was then applied to the standard normal approximation theory on the clusters whose standard errors were high or larger than 0.030. The cluster formations have an apparent error rate of 0.027.	en_US
dc.publisher	International Journal of Latest Research in Science and Technology	en_US
dc.relation.ispartofseries	Volume2,Issue 1;437-441	-
dc.subject	Multiscale Bootstrap.	en_US
dc.subject	Dendrograms	en_US
dc.subject	Approximately unbiased (AU) p-values	en_US
dc.subject	Highlighted clusters	en_US
dc.subject	Average linkage	en_US
dc.subject	Hierarchical cluster analysis	en_US
dc.title	A HIERARCHICAL CLUSTER ANALYSIS AND SIMULATION OF STATE CAPITALS IN NIGERIA FOR TOURISM EXPLORATION	en_US
dc.type	Article	en_US
Appears in Collections:	Statistics

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