A New Alternating Suboptimal Dynamic Programming Algorithm with Applications for Feature Selection
Feature selection is predominantly used in machine learning tasks, such as classification, regression, and clustering.It selects a subset of features (relevant attributes of data points) from a larger set that contributes as optimally as possible to the informativeness of the model.There are exponentially many subsets of a given set, and thus, the