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Object Summary

The Classification Of Plant Extracts Using Hierarchical Cluster Methods For Bacteria And Protozoa Population In Rumen

Title of object

The Classification Of Plant Extracts Using Hierarchical Cluster Methods For Bacteria And Protozoa Population In Rumen

Object description

In this study, utilizing various distance methods (euclid, city-block, minkowski) with regard to the effects of 14 different types of volatile oil achieved from incubations made with wheat fodder on pH, bacteria, protozoa numbers, hierarchical cluster methods (Within Group Linkage Method, Centroid Linkage Method, Complete Linkage Method, Single Linkage Method, Ward Linkage Method) have been analysed. Z-score transformation has been used to transform the data. In order to ascertain the one, among...

Language of object

Turkish

Author(s) / Publisher

Mehmet Keziban Zeynel Cebeci

Discipline(s)

Mathematics and Statistics

Keywords

Cluster Analysis, Hierarchical Cluster Analysis, Distance Measures, Plant Extract

Technical format

Text

Intended end-user role

Learner

Learning resource type

Thesis

Typical age range

18U

Copyright - Restrictions

This resource is licensed under the license(CC-BY-NC-ND) Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported

Cost with use

No

Source code available

No


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