Which of the following is an example of unsupervised feature learning?
Practice Questions
Q1
Which of the following is an example of unsupervised feature learning?
Linear Regression
K-Means Clustering
Support Vector Machines
Decision Trees
Questions & Step-by-Step Solutions
Which of the following is an example of unsupervised feature learning?
Step 1: Understand what unsupervised learning means. It is a type of machine learning where the model learns from data without any labels or outcomes provided.
Step 2: Learn about feature learning. This is the process of automatically discovering the representations or features from raw data.
Step 3: Identify K-Means Clustering. It is a method used in unsupervised learning to group data into clusters based on similarities.
Step 4: Recognize that K-Means Clustering does not require labeled data. It finds patterns in the data by grouping similar items together.
Step 5: Conclude that K-Means Clustering is an example of unsupervised feature learning because it identifies patterns without needing labeled outcomes.
