Question: 1. Why do we consider K-means clustering as an unsupervised machine learning algorithm? 2. How do you use pair-wise plots to evaluate the effectiveness of

1. Why do we consider K-means clustering as an unsupervised machine learning algorithm?

2. How do you use "pair-wise" plots to evaluate the effectiveness of the clustering?

3. Detail the four steps in the K-means clustering algorithm.

4. How do we use WSS to pick the value of K?

5. What is the most common measure of distance used with K-means clustering algorithm?

6. The attributes of a data set are "purchase decision (Yes/No), Gender (M/F), income group (<10K, 10-50K, >50K)." Can you use K-means to cluster this data set?

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