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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..
Question: Which of the following is an example of unsupervised learning?Options: Image classificatio..
Question: What is the main function of an activation function in a neural network?Options: To initia..
Question: In which scenario would you use reinforcement learning?Options: When you have labeled data..
Question: What is the purpose of feature scaling in machine learning?Options: To increase the number..
Question: Which of the following is an example of a regression algorithm?Options: K-MeansLogistic Re..
Question: What is the main difference between supervised and unsupervised learning?Options: Supervis..
Question: Which of the following is a characteristic of neural networks?Options: They require struct..
Question: What is overfitting in machine learning?Options: When a model performs well on training da..
Question: Which algorithm is commonly used for clustering?Options: Linear RegressionK-MeansSupport V..
Question: What is the purpose of a confusion matrix?Options: To visualize the performance of a regre..
