Analisis Reduksi Komponen Uji Klinis Dan Imputasi Missing Value pada Data Uji Klinis Menggunakan Metode Principal Component Analysis (PCA) pada Studi Kasus Demensia = Analysis of Clinical Trial Component Reduction and Missing Value Imputation in Clinical Trial Data Using Principal Component Analysis (PCA) Method in Dementia Case Study

Aplikasi metode bicluster-based robust least square estimation dengan principal components pada imputasi missing value data ekspresi gen = Missing value imputation for microarray data using bicluster-based robust least squares estimation with principal components

Implementasi K-harmonic means clustering untuk imputasi missing values = Implementation of K-harmonic means clustering for missing values imputation

Pengkajian metode User-Input-Free Density-Based Clustering (UIFDBC) pada data dengan missing values dan penerapannya pada data real = Assessment of the User-Input-Free Density-Based Clustering (UIFDBC) method on data with missing values and its application to real data

Konstruksi metode imputasi decision tree-expectation maximization untuk mengestimasi missing values = Construction of decision tree-expectation maximization imputation method for estimating missing values