Please answer only the highlighted question. . Explain and give an example of a clustering algorithm. I have shared the four below, however, there are many othersincluding Affinity Propagation, BIRCH, Mini-Batch K-Means, Mean Shift, OPTICS, Spectral Clustering, etc.:• K-meanso Gaussian Mixture. Hierarchical Agglomeration. DBSCAN)• Provide a real-life example of how the clustering algorithm you picked can make your life easier at home or at work.. Please answer and explain your response to the following question:Do you know who are the natural unsupervised learners on this earth?Your response should be about three paragraphs and please include the source that we can review. Please bring a hardcopy to class.

Unsupervised learning is a type of machine learning where there is no target variable or label to…

Answered: Please answer only the highlighted…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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3. Use the training data of Gauss2 example (Gauss2.train). (a). Run the K-means algorithm with K = 2 clusters and make a plot identifying the clusters. Also label the points with their known classes. = 2 clusters and make (b). Multiple all the x1 by 10. Run the K-means algorithm with K a plot identifying the clusters. Also label the points with their known classes. (c). Compare the class and cluster groupings for both plots in (a) and (b). Explain any differences between them. (d). Use agglomerative hierarchical clustering (hclust in the MASS library) to cluster the data, and divide them into 2 groups. You can use the function cutree to divide the clusters into 2 groups. Report on how the predicted cluster labels compare with actual cluster labels for each of the three methods for measuring distance between clusters, i.e. single linkage, complete linkage and average linkage. (e). Plot the dendrograms for the three methods in (d). What does the shape of the the dendrograms suggest about…
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Which of the following is a benefit of a within-groups design over a between-groups design?
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Yue Bing is a new intern at Linkedln. She has designed a new recommendation algorithm for connecting LinkedIn users to other users, and wants to see if it will cause an increase the average number of messages sent by Linkedln users. She will randomly sample one group of users from the LinkedIn network and set up their accounts so that they use the new recommendation algorithm. She will then randomly sample another group of users, who will operate on the regular recommendation algorithm. She determines how many messages are sent by users over the course of year. She ends up assigning 23 users to the new algorithm, and 38 users to the old algorithm. She provides you with some of her data, though it is incomplete. Sample Size Sample Mean Standard Deviation New23 34.4 ?? Old 38 27.3 3.1 She insists all assumptions necessary for a confidence interval for a difference between two appropriate means have been verified. What distribution would we use to determine the critical value of a 95%…
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