An Introduction to Mathematical TaxonomyStudents of mathematical biology discover modern methods of taxonomy with this text, which introduces taxonomic characters, the measurement of similarity, and the analysis of principal components. Other topics include multidimensional scaling, cluster analysis, identification and assignment techniques, more. A familiarity with matrix algebra and elementary statistics are the sole prerequisites. |
Contents
| 1 | |
| 11 | |
The measurement of similarity | 25 |
Principal components analysis | 46 |
Multidimensional scaling | 59 |
Cluster analysis | 77 |
Identification and assignment techniques | 106 |
The construction of evolutionary trees | 122 |
Other editions - View all
Common terms and phrases
acid algorithm analysis appear applications approach binary branch canonical variate chapter characters classification Clone clustering coding coefficient Computer consider construction coordinates correlation covers defined definition dendrogram described discussed dissimilarity Euclidean distance evolution evolutionary example Figure four function gene give given groups hierarchical identification illustrate important indicate Introduction Journal keys latent length London matching mathematical matrix mean measure mechanics methods numerical taxonomy observed obtained organisms original OTUs pair particular PHYSICS plot points populations positive possible presence principal components probability problems procedure produce properties proximity quantum mechanics question referred relationships relatively represented roots scores selection sequences shape shown shows similarity simple single Sneath Sokal solutions space species statistical structure suggested Summary Systematic Table Taken taxa taxon taxonomist taxonomy techniques theory transformation tree values variables variance vectors weight