Data Preprocessing Questions
Data imputation using harmony search is a technique used in data preprocessing to fill in missing values in a dataset. Harmony search is a metaheuristic algorithm inspired by the musical improvisation process. In the context of data imputation, harmony search generates new candidate solutions by combining existing values from the dataset to fill in the missing values. The algorithm evaluates the fitness of each candidate solution based on certain criteria, such as minimizing the difference between the imputed values and the observed values. By iteratively applying harmony search, missing values can be imputed effectively, improving the completeness and quality of the dataset for further analysis.