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Found 192815 Document(s) match with the query 9999920531348
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
Author : Julizar Isya Pandu Wangsa, author
Call Number : S-pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
Penggunaan Algoritma Clustering K-Means, DBScan, LDA, dan Kombinasi K-Means dengan DBScan untuk Menentukan Trending Topic pada Media Sosial X = Use of K-Means Clustering, DBScan, LDA, and Combination of K-Means with DBScan to Determine Trending Topic on Social Media X
Author : Dwie Putri Donnaro, author
Call Number : T-pdf
Collection Type : UI - Tesis Membership
Location : Universitas Indonesia Library
Analisis Kekerabatan pada Barisan DNA SARS-Cov-2 Berdasarkan Pembentukan Pohon Filogenetik dengan Metode Hierarchical dan K-Means Clustering Menggunakan Multiple Encoding Vector dan K-Mer = Implementation of Hierarchical and K-Means Clustering Methods Using Multiple Encoding Vector in Analyzing Kinship in SARS-Cov-2 DNA Sequences
Author : Banjarnahor, Evander, author
Call Number : T-pdf
Collection Type : UI - Tesis Membership
Location : Universitas Indonesia Library
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
Author : Harum Ananda Setyawan, author
Call Number : S-pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
Advances in K-means clustering: a data mining thinking
Author : Wu, Junjie, author
Call Number : e204063793
Collection Type : eBooks
Location : Universitas Indonesia Library
Pengelompokan Nagari-nagari di Kabupaten Agam Sumatera Barat Berdasarkan Indikator Pembangunan Keluarga Tahun 2015 dengan Metode K-Means dan Fuzzy C-Means = Clustering of Nagari in Agam District of West Sumatera Province Based on Family Development Indicator 2015 Using K-Means and Fuzzy C-Means Methods
Author : Athiyyah Fadillah Eriri, author
Call Number : S-Pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
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