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Autor:
Titin Siswantining, Muhammad Ihsan, Saskya Mary Soemartojo, Devvi Sarwinda, Herley Shaori Al-Ash, Ika Marta Sari
Publikováno v:
Media Statistika, Vol 14, Iss 1, Pp 68-78 (2021)
Missing values are a problem that is often encountered in various fields and must be addressed to obtain good statistical inference such as parameter estimation. Missing values can be found in any type of data, included count data that has Poisson di
Externí odkaz:
https://doaj.org/article/085eeaf70de245ddbb94462e98d260ed
Publikováno v:
2020 4th International Conference on Informatics and Computational Sciences (ICICoS).
Triclustering analysis is the development of clustering analysis and biclustering analysis. The purpose of triclustering study is to group three-dimensional data simultaneously. The three-dimensional data can be in the form of observations, attribute