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Biblioteca(s): |
Embrapa Algodão; Embrapa Amazônia Oriental; Embrapa Arroz e Feijão; Embrapa Caprinos e Ovinos; Embrapa Florestas; Embrapa Gado de Leite; Embrapa Hortaliças; Embrapa Semiárido; Embrapa Soja; Embrapa Trigo; Embrapa Unidades Centrais. MenosEmbrapa Algodão; Embrapa Amazônia Oriental; Embrapa Arroz e Feijão; Embrapa Caprinos e Ovinos; Embrapa Florestas; Embrapa Gado de Leite; Embrapa Hortaliças; Embrapa Semiárido; Embrapa Soja; Embrapa Trigo... Mostrar Todas |
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Data corrente: |
19/05/1992 |
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Data da última atualização: |
22/07/2002 |
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Autoria: |
DUNN, G.; EVERITT, B. S. |
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Título: |
An introduction to mathematical taxonomy. |
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Ano de publicação: |
1982 |
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Fonte/Imprenta: |
Cambridge: Cambridge University, 1982. |
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Páginas: |
152p. |
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ISBN: |
0-521-28388-4 |
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Idioma: |
Inglês |
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Conteúdo: |
An introduction to the philosophy and aims of numerical taxonomy: Systematic, classification and taxonomy; The construction of taxonomic hierarchies by traditional and numeral taxonomy: comparison of methods; The philosophy of taxonomy; Classification and inferences concerning patterns of evolution; Taxonomic characters: Number of characters; Type of characteres and coding of character states; Weighting of characters; Homology of characters; The measurement of similarity: Similarity measures for binary characters; Similarity measures for qualitative characters having more than two states; Similarity measures for quantitative characters; Measures of dissimilarity and distance; Gower's similarity coefficient; Similarity and distance between populations; Qualitative characters; Qualitative characters. Principal components analysis: Principal components analysis: geometrical interpretation; A brief mathematical account of principal components analysis; Examples; principal components plots; Factor analysis. Multidimensional scaling: Classicial multidimensional scaling; Other methods of multidimensional scaling; Minimum spanning trees. Cluster analysis: Hierarchical clustering techniques; Properties of hierarchical techniques; Other clustering methods; An example; The evaluation of results and other problems; What is a cluster?. Identification and assignment techniques: Diagnosis keys; Probabilistic assignment techniques. The construction of evolutionary trees: Evaluation as a branching process; The principle of minimal evolution; The topology of the tree; Optimization of trees; Reticulate evolution: the problem of hybrids; Gene phylogenies. MenosAn introduction to the philosophy and aims of numerical taxonomy: Systematic, classification and taxonomy; The construction of taxonomic hierarchies by traditional and numeral taxonomy: comparison of methods; The philosophy of taxonomy; Classification and inferences concerning patterns of evolution; Taxonomic characters: Number of characters; Type of characteres and coding of character states; Weighting of characters; Homology of characters; The measurement of similarity: Similarity measures for binary characters; Similarity measures for qualitative characters having more than two states; Similarity measures for quantitative characters; Measures of dissimilarity and distance; Gower's similarity coefficient; Similarity and distance between populations; Qualitative characters; Qualitative characters. Principal components analysis: Principal components analysis: geometrical interpretation; A brief mathematical account of principal components analysis; Examples; principal components plots; Factor analysis. Multidimensional scaling: Classicial multidimensional scaling; Other methods of multidimensional scaling; Minimum spanning trees. Cluster analysis: Hierarchical clustering techniques; Properties of hierarchical techniques; Other clustering methods; An example; The evaluation of results and other problems; What is a cluster?. Identification and assignment techniques: Diagnosis keys; Probabilistic assignment techniques. The construction of evolutionary trees: Evaluation as a bra... Mostrar Tudo |
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Palavras-Chave: |
Analise de cluster; Biology; CANONICA; CONSTRUCAO; FISOLOFIA; FUNCAO; Matematica aplicada a biologia; Matematica aplicada a taxonomia; Matematica taxonomica; Mathematical taxonomy; MULTIDIMENCIONAL; NUMERAL; Numerica; Numerical; Taxonomia matematica; Taxonomia numerica; TOPOLOGIA. |
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Thesagro: |
Análise; Biologia; Botânica; Matemática; Taxonomia. |
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Thesaurus Nal: |
cluster analysis; mathematics; numerical taxonomy; taxonomy. |
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Categoria do assunto: |
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S Ciências Biológicas |
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Marc: |
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008 1982 bl uuuu 00u1 u #d
020 $a0-521-28388-4
100 1 $aDUNN, G.
245 $aAn introduction to mathematical taxonomy.
260 $aCambridge: Cambridge University$c1982
300 $a152p.
520 $aAn introduction to the philosophy and aims of numerical taxonomy: Systematic, classification and taxonomy; The construction of taxonomic hierarchies by traditional and numeral taxonomy: comparison of methods; The philosophy of taxonomy; Classification and inferences concerning patterns of evolution; Taxonomic characters: Number of characters; Type of characteres and coding of character states; Weighting of characters; Homology of characters; The measurement of similarity: Similarity measures for binary characters; Similarity measures for qualitative characters having more than two states; Similarity measures for quantitative characters; Measures of dissimilarity and distance; Gower's similarity coefficient; Similarity and distance between populations; Qualitative characters; Qualitative characters. Principal components analysis: Principal components analysis: geometrical interpretation; A brief mathematical account of principal components analysis; Examples; principal components plots; Factor analysis. Multidimensional scaling: Classicial multidimensional scaling; Other methods of multidimensional scaling; Minimum spanning trees. Cluster analysis: Hierarchical clustering techniques; Properties of hierarchical techniques; Other clustering methods; An example; The evaluation of results and other problems; What is a cluster?. Identification and assignment techniques: Diagnosis keys; Probabilistic assignment techniques. The construction of evolutionary trees: Evaluation as a branching process; The principle of minimal evolution; The topology of the tree; Optimization of trees; Reticulate evolution: the problem of hybrids; Gene phylogenies.
650 $acluster analysis
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650 $aAnálise
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653 $aBiology
653 $aCANONICA
653 $aCONSTRUCAO
653 $aFISOLOFIA
653 $aFUNCAO
653 $aMatematica aplicada a biologia
653 $aMatematica aplicada a taxonomia
653 $aMatematica taxonomica
653 $aMathematical taxonomy
653 $aMULTIDIMENCIONAL
653 $aNUMERAL
653 $aNumerica
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653 $aTaxonomia matematica
653 $aTaxonomia numerica
653 $aTOPOLOGIA
700 1 $aEVERITT, B. S.
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Embrapa Arroz e Feijão (CNPAF) |
