TY  - JOUR
T1  - Comparison of Principal Component Analysis and Multidimensional Scaling Methods for Clustering Some Honey Bee Genotypes
AU - , Irfan Ozturk AU - , Hikmet Orhan AU - , Zeki Dogan 
JO  - Journal of Animal and Veterinary Advances
VL  - 8
IS  - 3
SP  - 413
EP  - 419
PY  - 2009
DA  - 2001/08/19
SN  - 1680-5593
DO  - javaa.2009.413.419
UR  - https://makhillpublications.co/view-article.php?doi=javaa.2009.413.419
KW  - Multivariate analyses
KW  -clustering
KW  -honey bee
KW  -Apis mellifera L.
KW  -k-means methods
AB  - The aim of this study, was to make use of Cluster Analysis, Principal Component Analysis and Multidimensional Scaling for clustering and appointments of the units to the true clusters. The honey bee genotypes (<I>Apis mellifera </I>L.) belonging to 30 provinces of Turkey were clustered according to Cluster Methods cited below. From these methods, McQuitty, Single Linkage, Complete Linkage, Average Linkage and Centroid Linkage showed the similar results and the results were in good agreement for separation graphics obtained by Principal Component Analysis and Multidimensional Scaling Methods while different results were found from median, centroid linkage and k-means methods.
ER  -