This is a chapter from a book that discusses data related issues that are very crucial in the design and implementation of biometric systems.
Your task is to read the related sections and respond to the following questions:
Q1. Classify the following attributes as binary, discrete, or continuous. Also classify them as qualitative (nominal or ordinal) or quantitative (interval or ratio). Some cases may have more than one interpretation, so briefly indicate your reasoning if you think there may be some ambiguity.
(Example: Age in years -> Answer: Discrete, quantitative, ratio)
Q2. The following attributes are measured for members of a herd of Asian elephants: weight, height, tusk length, trunk length, and ear area. Based on these measurements, what sort of similarity measure from Section 2.4 would you use to compare or group these elephants? Justify your answer and explain any special circumstances.
Q3. Explain why computing the proximity between two attributes is often simpler than computing the similarity between two objects.
Please do not look at instructor’s solutions, I know it is available online
Textbook chapter is attached