Muhammad Ghazy
Klasifikasi Penyakit Tanaman Padi Menggunakan Ekstraksi Fitur Haralick pada Gray Level Co-occurrence Matrix Dan Metode Klasifikasi Support Vector Machine = Classification Of Rice Diseases Using Haralick Feature Extraction On Gray Level Co-occurrence Matrix And Support Vector Machine Classification Method
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2022
 UI - Skripsi (Membership)
Nurlia Angie Darmawan
Perbandingan antara Metode Gray Level Co-Occurrence Matrix dan Local Binary Pattern dengan Support Vector Machines untuk Klasifikasi Perubahan Densitas CT Scan Otak Penderita Stroke Iskemik = The Comparison between Gray Level Co-Occurrence Matrix and Local Binary Pattern with Support Vector Machines for Classification of Density Changes in CT Brain Scan of Ischemic Stroke Patients
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2020
 UI - Skripsi (Membership)
Putri Utami
Sistem pengklasifikasian kanker payudara berbasis ciri gray level co occurrence matrix glcm dan discrete wavelet transform dwt menggunakan support vector machine svm = Breast cancer classification system based on gray level co occurrence matrix glcm and discrete wavelet transform dwt features using support vector machine svm
2015
 UI - Tesis (Membership)
Frisca
Implementasi spectral clustering pada data microarray gen karsinoma menggunakan algoritma K-means = The implementation of spectral clustering on microarray data on carcinoma genes using K-means algorithm
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2017
 UI - Tesis (Membership)
Dewi Holilah
Pendeteksian penyakit alzheimer dengan pendekatan segmentasi menggunakan K-means clustering dan metode watershed pada citra MRI = Detection of alzheimer's disease with segmentation approach using K-means clustering and watershed method of MRI image
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2018
 UI - Skripsi (Membership)