Question

What is the normalization factor?

Answer 1

Hint: We use the concept of probability that Probability is the possibility of happening an event and the probability distribution indicates the possibility of each outcome of a random experiment or event.



Complete step by step solution:The probability distribution function is said to be "normalized" if the sum of all possible results is equal to 1. The concept of normalization factors can be found in probability theory and various other fields of mathematics. The parametrized normalizing constant for the probability distribution plays a central role in probability theory. In that context, the normalizing constant is called the statistical function.
 In probability theory, normalization factors are constants that all need to be multiplied by non-negative functions to make the area under graph one. For example, make a probability density function or a probability mass function. In other words, the normalization constant is used in probability theory to reduce a probability function to a probability density function. Where the total probability is equal to 1.
It is based on the theory that the sum of all the probabilities is the probability that one of the events will occur. Therefore, the sum of all the probabilities in the distribution is the probability that any event will occur, that is, probability one. Bayes' theorem leads to distribution, so in a real application the algorithm needs to be normalized to 1, so we need a normalization constant.




Note: Normalizing factors are used to reduce each probability function to a probability density function with an overall probability of one.