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Taxonomic application of classification and regression tree (CART) and random forests (RF): A case study of middle cambrian trilobites

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Title Taxonomic application of classification and regression tree (CART) and random forests (RF): A case study of middle cambrian trilobites
 
Creator PARCHA, SK
SABNIS, SV
SARASWATI, PK
 
Subject himalaya
biostratigraphy
sequences
kashmir
fossils
taxonomy
trilobites
cambrian
random forests
regression tree
morphometrics
 
Description The morphological variables often have non-normal distribution. The statistical analysis of such variables by imposing normal assumption invariably yields unreliable results. Classification and Regression Trees (CART) and Random Forests (RF) are nonparametric techniques that are alternative to conventional classification methods such as cluster analysis and linear discriminant analysis used in morphometric research. This paper uses the aforementioned non-parametric techniques to the variables of the cranidial features of the trilobite genera Hundwarella and Iranoleesia. It is found that misclassification rates in CART and cluster analyses are comparable, whereas they are reduced substantially by the use of Random Forests.
 
Publisher GEOLOGICAL SOC INDIA
 
Date 2011-07-30T06:56:22Z
2011-12-26T12:52:42Z
2011-12-27T05:39:33Z
2011-07-30T06:56:22Z
2011-12-26T12:52:42Z
2011-12-27T05:39:33Z
2007
 
Type Article
 
Identifier JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA, 70(6), 1033-1038
0016-7622
http://dspace.library.iitb.ac.in/xmlui/handle/10054/7880
http://hdl.handle.net/10054/7880
 
Language en