Is a data-mining technique used for classifying a set of observations into predefined classes.

Discriminant analysis is a data-mining technique used for classifying a set of observations into predefined classes.
This type of an analysis uses a set of linear functions of the predictors (known as discriminant functions) so as to categorize each of these observations into their respective classes which have been already determined for them prior to the whole analysis.

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Solution: the categorization of functional and non-functional requirement are as follows: some of the more typical functional requirements include: • business rules• transaction corrections, adjustments and cancellations• administrative functions• authentication• authorization levels• audit tracking• external interfaces• certification requirements• reporting requirements• historical data• legal or regulatory requirementswhile,some typical non-functional requirements are: • performance – for example response time, throughput, utilization, static volumetric• scalability• capacity• availability• reliability• recoverability• maintainability• serviceability• security• regulatory• manageability• environmental• data integrity• usability• interoperability