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What is K-Means Clustering used for?
What is the role of K-Means Clustering in machine learning?
Who first came up with the idea for the K-Means Clustering algorithm?
What is a centroid in K-Means Clustering?
How is the distance between data points measured in K-Means Clustering?
What is the termination criteria for K-Means Clustering?
What is inertia in K-Means Clustering?
What does the silhouette score measure in clustering?
What is the elbow method used for in K-Means Clustering?
What is an important application of K-Means Clustering in marketing?
What is an example of a challenge in K-Means Clustering?
Which clustering algorithm is known for handling clusters of different sizes and shapes well?
What is the future outlook for K-Means Clustering and other clustering methods?
What is the purpose of the silhouette score in clustering?
How is the termination criteria for K-Means Clustering defined?
What is the role of Euclidean distance in K-Means Clustering?
What is an example of an application of K-Means Clustering in image processing?
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