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Three-way Ensemble Clustering for Incomplete Data
2020
IEEE Access
There are many incomplete data sets in all fields of scientific studies due to random noise, data lost, limitations of data acquisition, data misunderstanding etc. Most of the clustering algorithms cannot be used for incomplete data sets directly because objects with missing values need to be preprocessed. In this paper, we present a new imputation algorithm for incomplete data and a three-way ensemble clustering algorithm based on the imputation result. In the proposed imputation algorithm,
doi:10.1109/access.2020.2994380
fatcat:pwydjazuqvhhjpeqhrakkc4qrm