Artificial Intelligence & Machine Learning
Choose the correct description of Clustering.
Difficulty: Medium
About this MCQ
This Medium Artificial Intelligence & Machine Learning MCQ checks one syllabus fact.
The question is: “Choose the correct description of Clustering.”
The accepted answer is C. An unsupervised learning technique that groups similar data points together based on shared characteristics.. Choose the correct description of Clustering is answered by An unsupervised learning technique that groups similar data points together based on shared characteristics option C Option A A mathematical function applied to a neural network node's output to introduce non-linearity does not match the stem it is a near-miss used to catch incomplete recall of An unsupervised learning technique that groups similar data points together based on shared characteristics Option B A software application that simulates human conversation often using natural language processing does not match the stem it is a near-miss used to catch incomplete recall of An unsupervised learning technique that groups similar data points together based on shared characteristics Remaining alternatives A type of neural network designed.
- A. A mathematical function applied to a neural network node's output to introduce non-linearity.
Why not A: “A mathematical function applied to a neural network node's output to introduce non-linearity.” is not correct. The accepted answer is C. An unsupervised learning technique that groups similar data points together based on shared characteristics.. Choose the correct description of Clustering is answered by An unsupervised learning technique that groups similar data points together based on shared characteristics option C Opt
- B. A software application that simulates human conversation, often using natural language processing.
Why not B: “A software application that simulates human conversation, often using natural language processing.” is not correct. The accepted answer is C. An unsupervised learning technique that groups similar data points together based on shared characteristics.. Choose the correct description of Clustering is answered by An unsupervised learning technique that groups similar data points together based on shared characteristics option C Opt
- C. An unsupervised learning technique that groups similar data points together based on shared characteristics. ✓
- D. A type of neural network designed to recognize patterns in sequential data by maintaining memory of previous inputs.
Why not D: “A type of neural network designed to recognize patterns in sequential data by maintaining memory of previous inputs.” is not correct. The accepted answer is C. An unsupervised learning technique that groups similar data points together based on shared characteristics.. Choose the correct description of Clustering is answered by An unsupervised learning technique that groups similar data points together based on shared characteristics option C Opt
Correct answer
C. An unsupervised learning technique that groups similar data points together based on shared characteristics.
Explanation
Choose the correct description of Clustering is answered by An unsupervised learning technique that groups similar data points together based on shared characteristics option C Option A A mathematical function applied to a neural network node's output to introduce non-linearity does not match the stem it is a near-miss used to catch incomplete recall of An unsupervised learning technique that groups similar data points together based on shared characteristics Option B A software application that simulates human conversation often using natural language processing does not match the stem it is a near-miss used to catch incomplete recall of An unsupervised learning technique that groups similar data points together based on shared characteristics Remaining alternatives A type of neural netwo...
Source: Artificial Intelligence & Machine Learning Official Reference Guide
Tags: computer science, AI, machine learning, data science
Submitted by: MCQsHub Editorial
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