Data reduction techniques refer to various methods and approaches used to reduce the size, complexity, and redundancy of data while preserving its essential information. These techniques are applied in diverse fields such as data storage, data analysis, machine learning, and data transmission. The primary goal of data reduction is to optimize storage resources, improve computational efficiency,...