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What is empirical classification?
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What is empirical classification?
1. In this type, the actual nature or character if plant is not considered.
2. plants are classified in the basis of their alphabetical order, I. e. on the basis of the name of the plants.
3. on the basis of name, the plant kingdom can be classified into 26 groups. ( there are 26 alphabets in English according to this classification, all plants having the same initial alphabets are placed in one group.)
Example : if the name of plants, starts from 'A' , then it is placed in " A group " similarly, if the start with " B then it is placed in " B group ".
4. this is not a true classification. it has only one application : " Listing of flora" .
5. if any scientist, writes the flora of a particular area, then he uses empirical classification.
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What is empirical classification?
Empirical Classification:
Empirical classification is a method of classification based on empirical data or observations. It is a quantitative approach that involves the use of statistical techniques to group objects or individuals based on their characteristics. Empirical classification is widely used in various fields such as biology, ecology, and social sciences.

Steps Involved in Empirical Classification:
The following are the steps involved in empirical classification:

  • Data Collection: The first step in empirical classification is to collect relevant data. This data can be collected through surveys, experiments, or observations. The data collected should be reliable, valid, and relevant to the research question.

  • Data Analysis: The next step is to analyze the collected data. This involves the use of statistical techniques such as cluster analysis, factor analysis, and discriminant analysis to group the objects or individuals based on their characteristics.

  • Classification: Once the data has been analyzed, the objects or individuals can be classified into different categories based on their characteristics. These categories can be hierarchical or non-hierarchical depending on the research question.

  • Validation: The final step in empirical classification is to validate the results. This involves checking the reliability and validity of the classification system. The classification system should be able to accurately predict the characteristics of new objects or individuals.



Advantages of Empirical Classification:
The following are the advantages of empirical classification:

  • Empirical classification is based on objective data and observations, which makes it more reliable and valid than subjective classification methods.

  • Empirical classification can handle large amounts of data and can identify patterns that may not be apparent through visual inspection.

  • Empirical classification can be used to test hypotheses and theories, which can lead to new discoveries and insights.

  • Empirical classification can be used in various fields and can provide useful information for decision-making.



Disadvantages of Empirical Classification:
The following are the disadvantages of empirical classification:

  • Empirical classification requires a significant amount of data and expertise in statistical analysis, which can be time-consuming and expensive.

  • Empirical classification can be affected by errors in data collection and analysis, which can lead to inaccurate results.

  • Empirical classification may not take into account subjective factors such as culture and context, which may be important for some research questions.

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What is empirical classification?
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