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Assignment -
Part A) - Respond to the following questions:
1. What is clustering and why is it becoming increasingly popular?
2. Explain how "K-means" clustering work. Why is K-means clustering as a unsupervised machine learning algorithm?
3. Create a new thread for your response.
Please provide one short paragraph response to each question (minimum of 250 words). Your response must be in your own words.
B) Provide feedback to three (3) your classmates. Do not respond with short answers such as "I agree" etc. If you agree or disagree, discuss the why.
NOTE: This is NOT a research paper. However, if you directly quote a resource, you must cite accordingly.
Note - Total 2 questions - 250 words each and 3 replies - 130 words each.
Total 2 questions - 250 words each. I need to reply to other students posts - 3 replies - 130 words each. Once you send the initial post I will upload other student posts to the same email. Total Words count: 890 words.
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