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Ditemukan 202145 dokumen yang sesuai dengan query 20528672
Analisis Performa Metode K-Means dan Spectral Clustering pada Lahan Karet Melalui Citra Digital dengan Fitur Ekstraksi Gray Level Co-occurrence Matrix = Analysis Performance of K-Means and Spectral Clustering Methods on Rubber Fields through Digital Imagery with Gray Level Co-occurrence Matrix Extraction Features
Pengarang : Harum Ananda Setyawan, author
No. Panggil : S-pdf
Jenis Koleksi : UI - Skripsi Membership
Lokasi : Universitas Indonesia Library
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
Pengarang : Muhammad Ghazy, author
No. Panggil : S-pdf
Jenis Koleksi : UI - Skripsi Membership
Lokasi : Universitas Indonesia Library
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
Pengarang : Nurlia Angie Darmawan, author
No. Panggil : S-Pdf
Jenis Koleksi : UI - Skripsi Membership
Lokasi : Universitas Indonesia Library
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
Pengarang : Putri Utami, author
No. Panggil : T42928
Jenis Koleksi : UI - Tesis Membership
Lokasi : Universitas Indonesia Library
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
Pengarang : Frisca, author
No. Panggil : T47117
Jenis Koleksi : UI - Tesis Membership
Lokasi : Universitas Indonesia Library
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
Pengarang : Julizar Isya Pandu Wangsa, author
No. Panggil : S-pdf
Jenis Koleksi : UI - Skripsi Membership
Lokasi : Universitas Indonesia Library
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