Plotting of two principal axes in principal component analysis showed the variation among 21 bacterial isolates based on seven biochemical characters using co-variance matrix.

Qurban Ali Panhwar (640384)
Umme Aminun Naher (640385)
Shamshuddin Jusop (640386)
Radziah Othman (640387)
Md Abdul Latif (640388)
Mohd Razi Ismail (640389)

Publication date

October 2014

DOI

10.1371/journal.pone.0097241.g001

Abstract

<p>Plotting of two principal axes in principal component analysis showed the variation among 21 bacterial isolates based on seven biochemical characters using co-variance matrix.</p

Extracted data

We use cookies to provide a better user experience.

Data Protection

Plotting of two principal axes in principal component analysis showed the variation among 21 bacterial isolates based on seven biochemical characters using co-variance matrix.

Abstract

Extracted data

Plotting of two principal axes in principal component analysis showed the variation among 21 bacterial isolates based on seven biochemical characters using co-variance matrix.

Abstract

Extracted data

Related items

Related items