define classification and methods of classification
Answers
Answer:
Any classification method uses a set of features or parameters to characterize each object, where these features should be relevant to the task at hand. This set of known objects is called the training set because it is used by the classification programs to learn how to classify objects.
There are three different approaches to data classification within a business environment, each of these techniques – paper-based classification, automated classification and user-driven (or user-applied) classification – has its own benefits and pitfalls.
Explanation:
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Answer:
Classification means arranging the mass of data into different classes or groups on the basis of their similarities and resemblances. All similar items of data are put in one class and all dissimilar items of data are put in different classes. Statistical data is classified according to its characteristics. For example, if we have collected data regarding the number of students admitted to a university in a year, the students can be classified on the basis of sex. In this case, all male students will be put in one class and all female students will be put in another class. The students can also be classified on the basis of age, marks, marital status, height, etc. The set of characteristics we choose for the classification of the data depends upon the objective of the study. For example, if we want to study the religions mix of the students, we classify the students on the basis of religion.
Purpose of Classificaiton:
Classification helps in achieving the following objectives:
1) It helps in presenting the mass of data in a concise and simple form.
2) It divides the mass of data on the basis of similarities and resemblances so as to enable comparison.
3) It is a process of presenting raw data in a systematic manner enabling us to draw meaningful conclusions.
4) It provides a basis for tabulation and analysis of data.
5) It provides us a meaningful pattern in the data and enables us to identify the possible characteristics in the data.
Methods of Classification