Enumerate the seven principles of numerical taxonomy and briefly outline the procedures adopted in numerical taxonomy.

Numerical taxonomy, also known as numerical phenetics or phenetic taxonomy, is a method of classifying organisms based on quantitative data, particularly numerical measurements. The goal is to create a classification system that reflects the overall similarity among organisms, without necessarily considering their evolutionary relationships. The principles of numerical taxonomy provide a framework for organizing and interpreting data, while the procedures involve the steps taken to analyze and classify organisms based on these principles.

### Principles of Numerical Taxonomy:

1. Principle of Comprehensiveness:
   Numerical taxonomy seeks to include all available characters for analysis. This principle emphasizes the importance of considering a wide range of morphological, physiological, and ecological traits to capture the overall similarity among organisms.

2. Principle of Repeatability:
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