A partial order framework for incomplete data clustering

Author:

Yahyaoui HamdiORCID,AboElfotoh Hosam,Shu Yanjun

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference27 articles.

1. Basten T, Bosnacki D, Geilen M (2004) Cluster-based partial-order reduction. Autom Softw Eng 11:365–402

2. Dempster AP, Laird NM, Rubin DB (1977) Maximum likelihood estimation from incomplete data via the em algorithm. J R Stat Soc Ser B 39:1–38

3. Dinh D, Huynh V, Sriboonchitta S (2021) Clustering mixed numerical and categorical data with missing values. Inf Sci 571:418–442

4. Dua D, Graff C (2019) UCI machine learning repository. University of California, Irvine, School of Information and Computer Sciences, http://archive.ics.uci.edu/ml. Last visit: May 2022

5. Fahad A, Alshatri N, Tari Z, Alamri A, Khalid I, Zomaya A, Foufou S, Bouras A (2014) A survey of clustering algorithms for big data: taxonomy and empirical analysis. IEEE Trans Emerg Top Comput 2:267–279

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