Question

Explain the difference and similarity between discrimination and classification, between
characterization and clustering, and between classification and regression.

Answer 1

Answer:

characterization and cluster, and between classification and regression.Difference between discrimination and classification: Comparing general features for a population or sample VS contrasting classes of the same population or sample. Similarities between discrimination and classification: Both measure nominal data type and analyze object.Difference between characterization and clustering: Models or functions to describe or distinguish data classes to model and predict. Summary of general characteristics or features of the target population or sample.Similarities between characterization and clustering: Grouping of objects or related data to compare against data set values.Difference between classification and regression; classification is the process of finding a set of models at of the population or sample. Regression predicts data that it isn’t available at the time of the analysis this data is often numerical data values.Similarities between classification and regression; both are used to predict possible trends; one object data type the other numerical values.