Your Thoughts? 1. Why do we consider K-means clustering as a 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 algorithms? 6. The attributes of a data set are "purchase decision (Yes/No), Gender (M/F), income group (50K). Can you use K-means to cluster this data set