When may cosine distance be a good choice to measure differences between observations? a. When dealing with

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When may cosine distance be a good choice to measure differences between observations?

a. When dealing with observations with variables with both quantitative and categorical variables.

b. When dealing with observations consisting of binary variables.

c. When similarity in the pattern of variable values of two observations is more relevant to the application than the similarity in terms of the magnitude of variable values.

d. When dealing with observations consisting of ordinal variables.

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Business Analytics

ISBN: 9780357902219

5th Edition

Authors: Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann

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