Biclustering of diabetic nephropathy and diabetic retinopathy microarray data using a similarity-based biclustering algorithm
T Siswantining, A Bustamam… - International …, 2021 - inderscienceonline.com
Similarity-based biclustering (SBB) algorithm consists of four main phases, transforming
data, the construction of row (gene) and column (condition) similarity matrices, the clustering …
data, the construction of row (gene) and column (condition) similarity matrices, the clustering …
[PDF][PDF] Analisis Cluster Hasil Try Out Siswa MTS AlHuda Gorontalo dengan Chi-Sim Cosimilarity dan K-Means Clustering
F Zubedi - JMPM: Jurnal Matematika dan Pendidikan …, 2020 - journal.unipdu.ac.id
Tujuan penelitian ini yaitu menemukan kelompok siswa dan kelompok mata pelajaran yang
homogen sehingga bisa memantau atau mengetahui kinerja akademik siswa. Langkah …
homogen sehingga bisa memantau atau mengetahui kinerja akademik siswa. Langkah …
The comparison of K-means clustering result with centroid initialization using agglomerative hierarchical clustering (case study in Eastern Indonesia Region)
MDZ Mamu, L Yahya, MRF Payu - AIP Conference Proceedings, 2023 - pubs.aip.org
K-Means is a popular method in cluster analysis that partitions a data set into several
clusters based on distance. However, the clustering results depend on the selection of the …
clusters based on distance. However, the clustering results depend on the selection of the …
Implementation of factor analysis for bicluster acquisition: Sparseness projection (FABIAS) on microarray of Alzheimer's gene expression data
Alzheimers is a chronic neurodegenerative disease that usually worsens over time,
progressively destroys memory and other important mental functions. Number of people …
progressively destroys memory and other important mental functions. Number of people …