Matches in SemOpenAlex for { <https://semopenalex.org/work/W3021221386> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W3021221386 endingPage "229" @default.
- W3021221386 startingPage "217" @default.
- W3021221386 abstract "This chapter deals with the subject of distances and similarities in data analysis. A data set is a finite set comprised of m sequences (x1 j . . . . . xn j), j ∈ { 1, . . . , m }, of length n. The values xi1, . . . , xim represent attribute Si. It can be numerical, including continuous (real numbers) and binary (presence/absence expressed by 1/0), ordinal (numbers expressing rank only), or nominal (which are not ordered). Cluster Analysis (or classification, taxonomy, and pattern recognition) consists mainly of partition of data A into relatively small number of clusters, that is, such sets of objects, that (with respect of selected measure of distance) the objects, at best possible degree, are “close” if they belong to the same cluster, “far” if they belong to different clusters, and further subdivision into clusters impair above two conditions. The chapter defines multidimensional scaling as a technique developed in the behavioral and social sciences for studying the structure of objects or people. Together with cluster analysis, it is based on distance methods. Similarities and distances for numerical data, relatives of Euclidean distance, and similarities and distances for binary data are described in the chapter." @default.
- W3021221386 created "2020-05-13" @default.
- W3021221386 creator A5007038821 @default.
- W3021221386 date "2006-01-01" @default.
- W3021221386 modified "2023-10-16" @default.
- W3021221386 title "Distances and Similarities in Data Analysis" @default.
- W3021221386 doi "https://doi.org/10.1016/b978-044452087-6/50017-2" @default.
- W3021221386 hasPublicationYear "2006" @default.
- W3021221386 type Work @default.
- W3021221386 sameAs 3021221386 @default.
- W3021221386 citedByCount "3" @default.
- W3021221386 countsByYear W30212213862013 @default.
- W3021221386 countsByYear W30212213862023 @default.
- W3021221386 crossrefType "book-chapter" @default.
- W3021221386 hasAuthorship W3021221386A5007038821 @default.
- W3021221386 hasConcept C105795698 @default.
- W3021221386 hasConcept C114614502 @default.
- W3021221386 hasConcept C120174047 @default.
- W3021221386 hasConcept C124101348 @default.
- W3021221386 hasConcept C129782007 @default.
- W3021221386 hasConcept C143392562 @default.
- W3021221386 hasConcept C153180895 @default.
- W3021221386 hasConcept C154945302 @default.
- W3021221386 hasConcept C164866538 @default.
- W3021221386 hasConcept C166957645 @default.
- W3021221386 hasConcept C199360897 @default.
- W3021221386 hasConcept C205649164 @default.
- W3021221386 hasConcept C2524010 @default.
- W3021221386 hasConcept C2779190172 @default.
- W3021221386 hasConcept C2780009758 @default.
- W3021221386 hasConcept C33923547 @default.
- W3021221386 hasConcept C41008148 @default.
- W3021221386 hasConcept C42812 @default.
- W3021221386 hasConcept C48372109 @default.
- W3021221386 hasConcept C73555534 @default.
- W3021221386 hasConcept C91682802 @default.
- W3021221386 hasConcept C94375191 @default.
- W3021221386 hasConceptScore W3021221386C105795698 @default.
- W3021221386 hasConceptScore W3021221386C114614502 @default.
- W3021221386 hasConceptScore W3021221386C120174047 @default.
- W3021221386 hasConceptScore W3021221386C124101348 @default.
- W3021221386 hasConceptScore W3021221386C129782007 @default.
- W3021221386 hasConceptScore W3021221386C143392562 @default.
- W3021221386 hasConceptScore W3021221386C153180895 @default.
- W3021221386 hasConceptScore W3021221386C154945302 @default.
- W3021221386 hasConceptScore W3021221386C164866538 @default.
- W3021221386 hasConceptScore W3021221386C166957645 @default.
- W3021221386 hasConceptScore W3021221386C199360897 @default.
- W3021221386 hasConceptScore W3021221386C205649164 @default.
- W3021221386 hasConceptScore W3021221386C2524010 @default.
- W3021221386 hasConceptScore W3021221386C2779190172 @default.
- W3021221386 hasConceptScore W3021221386C2780009758 @default.
- W3021221386 hasConceptScore W3021221386C33923547 @default.
- W3021221386 hasConceptScore W3021221386C41008148 @default.
- W3021221386 hasConceptScore W3021221386C42812 @default.
- W3021221386 hasConceptScore W3021221386C48372109 @default.
- W3021221386 hasConceptScore W3021221386C73555534 @default.
- W3021221386 hasConceptScore W3021221386C91682802 @default.
- W3021221386 hasConceptScore W3021221386C94375191 @default.
- W3021221386 hasLocation W30212213861 @default.
- W3021221386 hasOpenAccess W3021221386 @default.
- W3021221386 hasPrimaryLocation W30212213861 @default.
- W3021221386 hasRelatedWork W1593696690 @default.
- W3021221386 hasRelatedWork W1861015301 @default.
- W3021221386 hasRelatedWork W2011911564 @default.
- W3021221386 hasRelatedWork W2359343796 @default.
- W3021221386 hasRelatedWork W2364679747 @default.
- W3021221386 hasRelatedWork W2366040363 @default.
- W3021221386 hasRelatedWork W2996688655 @default.
- W3021221386 hasRelatedWork W33499174 @default.
- W3021221386 hasRelatedWork W2504824792 @default.
- W3021221386 hasRelatedWork W3099485528 @default.
- W3021221386 isParatext "false" @default.
- W3021221386 isRetracted "false" @default.
- W3021221386 magId "3021221386" @default.
- W3021221386 workType "book-chapter" @default.