NCA-GENM Exam Dumps | You are working with a large dataset of images for training a generative model. The dataset contains

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Question 43/192

You are working with a large dataset of images for training a generative model. The dataset contains a significant amount of noise and outliers. Which of the following data preprocessing techniques would be MOST effective in mitigating the impact of noise and outliers on the model's performance?

A. Applying histogram equalization to all images.

B. Clipping pixel values to a specific range (e.g., [0, 255]).

C. Using a robust statistics-based normalization technique (e.g., Z-score normalization with median and interquartile range).

D. Applying a Gaussian blur to all images.

E. Converting all images to grayscale.

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