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.
Bias in AI refers to systematic errors or prejudices that can occur within AI systems due to biased training data, faulty algorithms, or human…