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You have a large data set without labels and have decided to use a GMM to cluster the data. You set the number of components set to three and fit the model.After a number of iterations , the algorithm converges.
A. Does the convergence mean that there are three clusters in the data? Or , in other words,does the convergence mean that the optimal number of components is three? Motivate
B. You input a new datum(data point) to the model , and instead of returning a component label(i.e an integer), it returns a three element vector of decimal numbers.What does this three-element vector represent, and how do you convert it to a component label?
C. You decided to use cross validation to fit a better model.Describe in three steps how you would do.
D. What is the primary model parameter (hyperparameter) you optimise with cross validation?
Which form of encryption would ensure the spreadsheet is always stored on the disk in encrypted format? More than one form may be correct.
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Each week, you will explore a new game through the lens set up by the weekly material. For example, when working with Turing machines, you may wish to represent the concept through a game of Hangman.
Construct a signal-flow graph to represent the vector-valued Eqs. (8.87) and (8.88)
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APP always takes the discount but takes the full 15 days to pay its bills. What is the average accounts payable for APP?
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