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For the k-means algorithm, it is interesting to note that by choosing the initial cluster centers carefully, we may be able to not only speed up the algorithm's convergence, but also guarantee the quality of the final clustering. The k-means++ algorithm is a variant of k-means, which chooses the initial centers as follows. First, it selects one center uniformly at random from the objects in the data set. Iteratively, for each object p other than the chosen center, it chooses an object as the new center. This object is chosen at random with probability proportional to dist(p) 2 , where dist(p) is the distance from p to the closest center that has already been chosen. The iteration continues until k centers are selected. Explain why this method will not only speed up the convergence of the k-means algorithm, but also guarantee the quality of the final clustering results.
How could this objective function be modified to preserve the statistical dependence between the outputs of networks α and b, yet include regularization in the objective function? What are the implications of this extension?
Do both make use of test-case design methods and testing strategies?
It's about HTC the phone company and how they find new technologies in their phones. i need it to be done in 2 weeks which is 10/25/2015. it should be 20 pages. It should cover everything about the technology in their phones
Write a program that will continuously prompt the user for a grade (in the range of 0 to 100) until a sentinel value of 999 is entered. The program will then display the average of all grades entered, formatted to 1 decimal place. Assume the grades a..
Identify the top three risks in this situation. For each risk, document its risk event, impact, probability, impact rating/risk exposure, and mitigation strategy.
Given the above description, draw an ER diagram for the database. State any assumptions you make for your ER-diagram to support your design. Include the following into your design:
Assign WPC-CH10-Database User db_owner permissions to the WPC-CH10-PQ database.
What are the benefits to engaging in a Computer Science major and what fields will allow me to branch out to?
Sydney's Logistics is a growing business that specializes in providing business services that many small firms do not have the expertise, the space or the resources to handle on their own. These services include warehouse receiving and storage, inter..
Why is it important to analyze profitability, specifically focusing on return on investment? Invoke the breakdown of ROI in thinking about your response.
Write using the summation notation
Identify the features of the FastICA algorithm that are responsible for this important property
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