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Q1 (50 Points): You are required to review the desсrіption of the K-Means Cluste
Q1 (50 Points): You are required to review the desсrіption of the K-Means Clustering that is in the following URL:
https://towardsdatascience.com/k-means-clustering-for-beginners-2dc7b2994a4
A) (10 Points) The author made a mistake in the math. Find where it is, fix it, and then submit the correct version of the computations.
B) (25 Points) Redo the same calculations (No code is allowed to be used for this question) using the following dataset.
Note:
– Use 3 centroids, K＝3.
– Your calculations should be only for the first iteration only.
Income Spending Score
15 39
15 81
16 6
16 77
17 40
17 76
18 6
18 94
19 3
19 72
C) (15 Points) Provide an example of a K-means limitation using the data points in Q1.B dataset only.
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Q2(50 Points): Find a research article (You could use Google Scholar) that discusses the K-means limitations OR k-means advantages, and summarize it using the following guidelines:
Your summary must be between 20-30 slides.
Use your own words.
The slides must show a concise flow of the topic that you are summarizing.
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Order from us for quality, customized work in due time of your choice.