mage compression is an interesting application of ---------------Select one:a. Regressionb. Clustering c. Classification

Break Down the Problem

1. Identify the context of image compression.
2. Understand the relationship between image compression and the given options.

Relevant Concepts

• Regression: Typically used for predicting a continuous value.
• Clustering: Used to group similar data points together without prior labels.
• Classification: Involves assigning predefined labels to data points based on features.

Analysis and Detail

• Image compression aims to reduce the size of an image file without significantly degrading its quality. This can involve grouping similar pixels (which relates to clustering) or transforming the image data into a more efficient representation. While classification is not directly related to image compression, clustering is used in many compression algorithms, as it helps identify and reduce redundancies within image data.

Verify and Summarize

Upon evaluating the options, clustering is the most relevant to image compression since it deals with grouping similar data points and reducing data size.

Final Answer

b. Clustering