Clustering in AI refers to the process of grouping similar data points together based on their inherent characteristics or attributes. By identifying patterns or relationships within data, clustering algorithms help businesses gain insights, segment customers, detect anomalies, and make data-driven decisions.
Feature Extraction refers to the process of identifying and selecting the most relevant features from raw data to enhance AI model performance. By extracting…