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Questions and Answers
What method can be used to choose the value of K in K-means clustering?
What method can be used to choose the value of K in K-means clustering?
In K-means clustering, what is the role of the value K?
In K-means clustering, what is the role of the value K?
Which distance metric is commonly used in calculating distances between data points in K-means clustering?
Which distance metric is commonly used in calculating distances between data points in K-means clustering?
What is the purpose of a dendrogram in hierarchical clustering?
What is the purpose of a dendrogram in hierarchical clustering?
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Which cluster evaluation method compares the average distance between clusters with the average distance within clusters?
Which cluster evaluation method compares the average distance between clusters with the average distance within clusters?
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What is the result of applying the Elbow Method to determine the optimal number of clusters?
What is the result of applying the Elbow Method to determine the optimal number of clusters?
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What is the main goal of clustering?
What is the main goal of clustering?
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In which type of clustering does each data point belong to a single cluster?
In which type of clustering does each data point belong to a single cluster?
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What is the initial step in the K-means clustering algorithm?
What is the initial step in the K-means clustering algorithm?
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Which technique involves the use of probability or likelihood to assign data points to clusters?
Which technique involves the use of probability or likelihood to assign data points to clusters?
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What happens in the K-means algorithm if a data point is reassigned to a different cluster?
What happens in the K-means algorithm if a data point is reassigned to a different cluster?
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Which step indicates the termination of the K-means clustering algorithm?
Which step indicates the termination of the K-means clustering algorithm?
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