Panjaitan, Andreas Pangihutan, author
Analisis perbandingan kinerja antara metode imputasi biclustering berbasis Shifting and Scaling Similarity (SSSim) dan euclidean score pada data ekspresi gen kanker usus besar = Performance comparison analysis between of biclustering based Shifting and Scaling Similarity (SSSim) and euclidean score for missing values imputation on colon cancer gene expression data.
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2021
 UI - Skripsi Membership
Rasendriya Maheswari, author
Imputasi Biclustering Berbasis Shifting-and-Scaling Similarity (SSSim) Menggunakan Regresi Kuantil Ke-t (NCBI-SSSim-tQR) pada Data Ekspresi Gen = Shifting-and-Scaling Similarity (SSSim)-Based Biclustering Imputation Using t-th Quantile Regression (NCBI-SSSim-tQR) on Gene Expression Data
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2022
 UI - Skripsi Membership
Fenni Amalia, author
Metode Biclustering Terurut Berbasis k-Nearest Neighbour, Mean Square Residual, dan Jarak Euclidean dalam Imputasi Missing Values pada Data Ekspresi Gen = Sequential Biclustering Method Based on k-Nearest Neighbor, Mean Squared Residual, and Euclidean Distance in Missing Values Imputation on Gene Expression Data
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2022
 UI - Skripsi Membership
Adib Hanafi, author
Metode Imputasi Sequential Biclustering Berbasis Shifting-and-Scaling Similarity dan Mean Squared Residue (SSSim-MSR) pada Data Ekspresi Gen Dua Dimensi = Sequential Biclustering Imputation Method Based on Shifting-and-Scaling Similarity and Mean Squared Residue on Two-Dimensional Gene Expression Data
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2022
 UI - Skripsi Membership
Vima Majesta Tingginehe, author
Implementasi Metode Imputasi Ganda Dynamically Ordered Attribute Trees (DOAT) untuk Estimasi Missing Values pada Data Kategorik = Implementation of Dynamically-Ordered Attribute Tree (DOAT) Multiple Imputation Method to Estimate Missing Values in Categorical Data
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2019
 UI - Skripsi Membership
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