Three Similarity Measures between One-Dimensional DataSets
Based on an interval distance, three functions are given in order to quantify similarities between one-dimensional data sets by using first-order statistics. The Glass Identification Database is used to illustrate how to analyse a data set prior to its classification and/or to exclude dimensions. Fu...
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| Format: | Article |
| Language: | English |
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Universidad Nacional de Colombia
2014-06-01
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| Series: | Revista Colombiana de Estadística |
| Subjects: | |
| Online Access: | http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-17512014000100006&lng=en&tlng=en |
| _version_ | 1818082996903739392 |
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| author | LUIS GONZALEZ-ABRIL JOSE M. GAVILAN FRANCISCO VELASCO MORENTE |
| author_facet | LUIS GONZALEZ-ABRIL JOSE M. GAVILAN FRANCISCO VELASCO MORENTE |
| author_sort | LUIS GONZALEZ-ABRIL |
| collection | DOAJ |
| description | Based on an interval distance, three functions are given in order to quantify similarities between one-dimensional data sets by using first-order statistics. The Glass Identification Database is used to illustrate how to analyse a data set prior to its classification and/or to exclude dimensions. Furthermore, a non-parametric hypothesis test is designed to show how these similarity measures, based on random samples from two populations, can be used to decide whether these populations are identical. Two comparative analyses are also carried out with a parametric test and a non-parametric test. This new non-parametric test performs reasonably well in comparison with classic tests. |
| first_indexed | 2024-12-10T19:30:59Z |
| format | Article |
| id | doaj.art-caf92c80fd9043a595ec5b8aca67318e |
| institution | Directory Open Access Journal |
| issn | 0120-1751 |
| language | English |
| last_indexed | 2024-12-10T19:30:59Z |
| publishDate | 2014-06-01 |
| publisher | Universidad Nacional de Colombia |
| record_format | Article |
| series | Revista Colombiana de Estadística |
| spelling | doaj.art-caf92c80fd9043a595ec5b8aca67318e2022-12-22T01:36:15ZengUniversidad Nacional de ColombiaRevista Colombiana de Estadística0120-17512014-06-01371799410.15446/rce.v37n1.44359S0120-17512014000100006Three Similarity Measures between One-Dimensional DataSetsLUIS GONZALEZ-ABRIL0JOSE M. GAVILAN1FRANCISCO VELASCO MORENTE2Universidad de SevillaUniversidad de SevillaUniversidad de SevillaBased on an interval distance, three functions are given in order to quantify similarities between one-dimensional data sets by using first-order statistics. The Glass Identification Database is used to illustrate how to analyse a data set prior to its classification and/or to exclude dimensions. Furthermore, a non-parametric hypothesis test is designed to show how these similarity measures, based on random samples from two populations, can be used to decide whether these populations are identical. Two comparative analyses are also carried out with a parametric test and a non-parametric test. This new non-parametric test performs reasonably well in comparison with classic tests.http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-17512014000100006&lng=en&tlng=endistancia entre intervalosmétodos del núcleominería de datostests no paramétricos |
| spellingShingle | LUIS GONZALEZ-ABRIL JOSE M. GAVILAN FRANCISCO VELASCO MORENTE Three Similarity Measures between One-Dimensional DataSets Revista Colombiana de Estadística distancia entre intervalos métodos del núcleo minería de datos tests no paramétricos |
| title | Three Similarity Measures between One-Dimensional DataSets |
| title_full | Three Similarity Measures between One-Dimensional DataSets |
| title_fullStr | Three Similarity Measures between One-Dimensional DataSets |
| title_full_unstemmed | Three Similarity Measures between One-Dimensional DataSets |
| title_short | Three Similarity Measures between One-Dimensional DataSets |
| title_sort | three similarity measures between one dimensional datasets |
| topic | distancia entre intervalos métodos del núcleo minería de datos tests no paramétricos |
| url | http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-17512014000100006&lng=en&tlng=en |
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