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
Julizar Isya Pandu Wangsa
Studi Perbandingan Metode Clustering K-Means, DBSCAN, dan HDBSCAN pada BERTopic untuk Pendeteksian Topik = Comparative Study of K-Means, DBSCAN, and HDBSCAN Clustering Methods on BERTopic for Topic Detection
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2023
UI - Skripsi Membership