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Question: In hierarchical clustering, what does agglomerative clustering do?Options: Starts with all..
Question: Which of the following statements about K-means clustering is true?Options: It can only be..
Question: What is the purpose of the elbow method in K-means clustering?Options: To determine the op..
Question: Which of the following is a disadvantage of the K-means algorithm?Options: It can handle l..
Question: Which of the following is NOT a common distance metric used in clustering?Options: Euclide..
Question: In hierarchical clustering, what does \'agglomerative\' mean?Options: Clusters are formed ..
Question: Which evaluation metric is commonly used to assess the quality of clustering results?Optio..
Question: Which of the following is a limitation of the K-means algorithm?Options: It can handle non..
Question: Which clustering method is more suitable for discovering nested clusters?Options: K-means ..
Question: What is the effect of outliers on K-means clustering?Options: They have no effect on the c..
Question: Which of the following is NOT a method of linkage in hierarchical clustering?Options: Sing..
Question: In hierarchical clustering, what is the result of the agglomerative approach?Options: Clus..
Question: What type of data is K-means clustering best suited for?Options: Categorical dataNumerical..
Question: Which evaluation metric is commonly used to assess the quality of clustering?Options: Accu..
Question: What is the main difference between K-means and hierarchical clustering?Options: K-means i..
Question: In hierarchical clustering, what does the term \'linkage\' refer to?Options: The method of..
Question: Which of the following methods can be used to evaluate the quality of clusters formed by K..
Question: In K-means clustering, what happens if K is set too high?Options: Clusters become too larg..
Question: If the distance between two clusters in hierarchical clustering is defined as the maximum ..
Question: What is the main criterion for determining the optimal number of clusters in K-means?Optio..
Question: In hierarchical clustering, what is the difference between agglomerative and divisive meth..
Question: Which of the following is a disadvantage of K-means clustering?Options: It is sensitive to..
Question: If a dataset has 200 points and you apply K-means clustering with K=4, how many points wil..
Question: In hierarchical clustering, what does the term \'dendrogram\' refer to?Options: A type of ..
Question: What is the primary goal of the K-means clustering algorithm?Options: Minimize the distanc..
Question: In a K-means clustering algorithm, if you have 5 clusters and 100 data points, how many ce..
Question: Which of the following is a common application of reinforcement learning?Options: Image re..
Question: What is the purpose of cross-validation in machine learning?Options: To increase the size ..
Question: Which neural network architecture is primarily used for image recognition tasks?Options: R..
Question: What does the term \'feature engineering\' refer to?Options: The process of selecting a mo..
