Numerical Classification by Cluster Analysis of Gram Negative Non- Fermentative Aerobic Bacillifrom Clinical Specimens
Abstract
The study includes isolation, diagnosis and classification of non- fermentative gram negative bacilli from clinical Specimens(pus, urine, sputum).
Classification based upon the morphological, biochemical ,physiological and molecular biological characteristics using conventional Numerical taxonomy, cluster analysis and nearest neighbour single linkage method (NNSLM).
The similarity levels betwee3n genera were determined and compared using (NNSLM) and simple matching coefficient (Ssm).
The study distinguishes 5 clusters (A, B, C, D, E ). The isolates belong to each genus are linked and determined at similarity level as follows: Achromobcter (92%), Alcaligenes (92%), Moraxella (92%), Pseudomonas(88%), Acinctobacter (88%).