Normalizasyon

Normalizasyon, or normalization, is a process used in various fields such as mathematics, statistics, and database management to adjust values or data sets to a common scale or standard. The primary goal of normalization is to improve comparability, reduce redundancy, and enhance the efficiency of data analysis or processing.

In statistics, normalization typically involves transforming data to fit within a specific range, often between 0 and 1 or -1 and 1. Common methods include Min-Max normalization and Z-score normalization. Min-Max scaling adjusts the data by subtracting the minimum value and dividing by the range, while Z-score normalization involves subtracting the mean and dividing by the standard deviation, resulting in data with a mean of zero and standard deviation of one.

In database management, normalization refers to the process of organizing data to minimize redundancy and dependency. It involves dividing large tables into smaller, related tables and establishing relationships between them, adhering to a series of normal forms (such as 1NF, 2NF, 3NF). Proper normalization enhances data integrity, simplifies maintenance, and optimizes query performance.

In computer graphics and signal processing, normalization can refer to adjusting the magnitude of vectors or signals to a standard length. This ensures consistency and stability in calculations and representations.

Overall, normalization is a fundamental concept aimed at standardizing data or structures to facilitate accurate analysis, efficient storage, and effective decision-making across various disciplines.