Learn what clustering is, how it is used in machine learning, and test your knowledge with a quiz on clustering examples.
Table of Contents
Question
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Statement 1: Organizing documents into groups based on similarities of the text contained in the documents is an example of clustering.
Statement 2: Grouping similar patients based on symptoms and diagnostic test results is an example of clustering.
Statement 3: Predicting whether a person will develop mild, moderate, or severe allergy symptoms based on pollen count is an example of clustering.
Answer
Statement 1: Organizing documents into groups based on similarities of the text contained in the documents is an example of clustering: Yes
Statement 2: Grouping similar patients based on symptoms and diagnostic test results is an example of clustering: Yes
Statement 3: Predicting whether a person will develop mild, moderate, or severe allergy symptoms based on pollen count is an example of clustering: No
Explanation
- Clustering is a machine learning task that is used to group instances of data into clusters that contain similar characteristics. Clustering can also be used to identify relationships in a dataset.
- Regression is a machine learning task that is used to predict the value of the label from a set of related features.
Statement 1: Yes. Organizing documents into groups based on similarities of the text contained in the documents is an example of clustering. Clustering is a type of unsupervised learning method that groups unlabeled data based on their similarities or differences. For example, you can cluster documents by their topics, authors, or keywords.
Statement 2: Yes. Grouping similar patients based on symptoms and diagnostic test results is an example of clustering. Clustering can be used to find meaningful patterns and structures in medical data. For example, you can cluster patients by their risk factors, diseases, or treatments.
Statement 3: No. Predicting whether a person will develop mild, moderate, or severe allergy symptoms based on pollen count is not an example of clustering. Clustering is not used for making predictions or classifications based on labeled data. For example, you cannot cluster allergy symptoms by their severity, as this is a predefined label. Instead, you need a supervised learning method such as classification or regression to make such predictions.
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