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MATLAB: An Introduction with Applications
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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. Explain and give an example of a clustering algorithm. I have shared the four below, however, there are many others including Affinity Propagation, BIRCH, Mini-Batch K-Means, Mean Shift, OPTICS, Spectral Clustering, etc.: • K-means o 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 hard copy to class.
Transcribed Image Text:. Explain and give an example of a clustering algorithm. I have shared the four below, however, there are many others including Affinity Propagation, BIRCH, Mini-Batch K-Means, Mean Shift, OPTICS, Spectral Clustering, etc.: • K-means o 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 hard copy to class.
Expert Solution
Step 1: Describing unsupervised learning

Unsupervised learning is a type of machine learning where there is no target variable or label to guide the learning process.

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