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Questions and Answers
What is the primary goal of unsupervised learning?
What is the primary goal of unsupervised learning?
- To classify data into predefined categories.
- To reinforce decision-making through feedback.
- To find patterns and structure in unlabeled data. (correct)
- To predict a target variable using labeled data.
Which of the following algorithms is commonly used for dimensionality reduction?
Which of the following algorithms is commonly used for dimensionality reduction?
- Principal Component Analysis (PCA) (correct)
- K-Nearest Neighbors (KNN)
- Linear Regression
- Support Vector Machine (SVM)
What type of data is typically used in clustering algorithms?
What type of data is typically used in clustering algorithms?
- Labeled data with target variables
- Data with missing values that need imputation
- Unlabeled data without predefined categories (correct)
- Time-series data with sequential dependencies
Which of the following is NOT a common application of unsupervised learning?
Which of the following is NOT a common application of unsupervised learning?
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In K-means clustering, what does 'K' represent?
In K-means clustering, what does 'K' represent?
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