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Questions and Answers
What is the first step in Agglomerative Hierarchical clustering?
What is the first step in Agglomerative Hierarchical clustering?
- Consider each alphabet as a single cluster (correct)
- Recalculate the proximity according to the algorithm
- Merge similar clusters together
- Split a single cluster into multiple clusters
What is the opposite of Agglomerative Hierarchical clustering?
What is the opposite of Agglomerative Hierarchical clustering?
- K-Means clustering
- K-Nearest Neighbor
- Case-based Reasoning
- Divisive Hierarchical clustering (correct)
What is the purpose of measuring distance in Hierarchical clustering?
What is the purpose of measuring distance in Hierarchical clustering?
- To merge or separate clusters (correct)
- To calculate the accuracy of the model
- To determine the number of clusters
- To identify the type of clustering algorithm
In Agglomerative Hierarchical clustering, how are the clusters merged in the second step?
In Agglomerative Hierarchical clustering, how are the clusters merged in the second step?
What is the final step in Agglomerative Hierarchical clustering?
What is the final step in Agglomerative Hierarchical clustering?
What is the main difference between Agglomerative and Divisive Hierarchical clustering?
What is the main difference between Agglomerative and Divisive Hierarchical clustering?
What is the purpose of the first step in Divisive Hierarchical clustering?
What is the purpose of the first step in Divisive Hierarchical clustering?
How many clusters are formed in the end of Divisive Hierarchical clustering?
How many clusters are formed in the end of Divisive Hierarchical clustering?
What is the main application of distance measurement in Hierarchical clustering?
What is the main application of distance measurement in Hierarchical clustering?
Why is distance measurement crucial in Hierarchical clustering?
Why is distance measurement crucial in Hierarchical clustering?
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