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Computers and Technology, 24.09.2020 18:01, jmolina57
Consider the following four 2-dimensional data points: (2, 2), (4, 4), (1, 5) and (5, 1). We can make use of the KL-Transform to find a transformed subspace containing a cluster. Let L be the total number of dimensions in the original space and K be the total number of dimensions in the projected subspace. Please illustrate the KL-transform technique with the above example when L = 2 and K = 1. Note: You need to show the covariance matrix, eigenvalues and eigenvectors, and the transformation step in your solution.
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Computers and Technology, 24.06.2019 17:00, kappy10
Anew author is in the process of negotiating a contract for a new romance novel. the publisher is offering three options. in the first option, the author is paid $5,000 upon delivery of the final manuscript and $20,000 when the novel is published. in the second option, the author is paid 12.5% of the net price of the novel for each copy of the novel sold. in the third option, the author is paid 10% of the net price for the first 4,000 copies sold, and 14% of the net price for the copies sold over 4,000. the author has some idea about the number of copies that will be sold and would like to have an estimate of the royal- ties generated under each option. write a program that prompts the author to enter the net price of each copy of the novel and the estimated number of copies that will be sold. the program then outputs he royalties under each option and the best option the author could choose. (use appropriate named constants to store the special values such as royalty rates and fixed royalties.
Answers: 1
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Computers and Technology, 24.06.2019 17:40, finedock
Anewly established internet company with 40 employees needs your advice. they are looking for a collaboration tool and have narrowed their choices to gotomeeting, webex, and my web conferences. after reading the information presented in this chapter and other sources, prepare a two- page document ( double spaced) that includes two advantages and two disadvantages of each tool. which one is your final recommendation? why did you choose that tool over the other two?
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Consider the following four 2-dimensional data points: (2, 2), (4, 4), (1, 5) and (5, 1). We can mak...
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