. 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 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?
. 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 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?
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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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: Understand the Given Information
The question asks us to do the following:
- Explain and give an example of a clustering algorithm.
- Choose one of the clustering algorithms from the provided list.
- Provide a real-life example of how the chosen clustering algorithm can make life easier at home or at work.
- Prepare to answer a follow-up question about natural unsupervised learners on Earth.
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