Scalable Algorithms for Missing Value Imputation

Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
Statistical imputation techniques have been proposed mainly with the aim of predicting the missing values in the incomplete sets as an essential step in any data analysis framework. K-means-based Imputation, as a representative statistical imputation method, has been producing satisfied results in terms of effectiveness and efficiency in handling popular and freely available data set. The main idea of k-means based methods is to impute the missing value relying on the prototypes of the representative class and the similarity of the data.

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