Skip to Content

AI-900: Identifying True Clustering: 3 Key Examples Explained

Learn to distinguish true clustering from other techniques. We explain key examples like document grouping, patient segmentation, and allergy severity prediction.

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.

  1. Organizing documents into groups based on similarities of the text contained in the documents is an example of clustering.
  2. Grouping similar patients based on symptoms and diagnostic test results is an example of clustering.
  3. Predicting whether a person will develop mild, moderate, or severe allergy symptoms based on pollen count is an example of clustering.

Answer

  1. Yes.
  2. Yes.
  3. 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 algorithms can group documents together that contain similar words, phrases, or topics.

Statement 2: Yes, grouping similar patients based on symptoms and diagnostic test results is an example of clustering. Medical datasets can be clustered to find patients with similar characteristics and conditions.

Statement 3: No, predicting allergy severity based on pollen count is not clustering. While pollen data could be used in a clustering algorithm, predicting a single severity level is a classification task rather than clustering different groups.

Reference

Microsoft Learn > .NET > ML.NET guide > Resources > Machine learning tasks in ML.NET

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

    Ads Blocker Image Powered by Code Help Pro

    Your Support Matters...

    We run an independent site that is committed to delivering valuable content, but it comes with its challenges. Many of our readers use ad blockers, causing our advertising revenue to decline. Unlike some websites, we have not implemented paywalls to restrict access. Your support can make a significant difference. If you find this website useful and choose to support us, it would greatly secure our future. We appreciate your help. If you are currently using an ad blocker, please consider disabling it for our site. Thank you for your understanding and support.