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Hasil Pencarian

Ditemukan 3 dokumen yang sesuai dengan query
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Suryanto Ang
Pengelompokan dokumen bahasa indonesia dengan teknik reduksi dimensi nonnegative matrix factorization dan random projection
" Pengelompokan dokumen atau document clustering telah menjadi suatu teknik yang berguna dalam pengorganisasian sekumpulan dokumen. Dengan teknik ini, komputer bisa secara otomatis mengelompokkan sekumpulan dokumen ke dalam kluster-kluster yang cocok yang merepresentasikan data yang ada. Dengan demikian, proses pencarian informasi bisa dilakukan dengan lebih efisien. Telah banyak metode yang dikembangkan untuk mendukung pengelompokan dokumen. Dua diantara metode-metode tersebut adalah Nonnegative Matrix Factorization (NMF) dan Random Projection (RP). Pada penelitian ini, proses pengelompokan dokumen dilakukan dengan ... "
Depok: Fakultas Ilmu Komputer Universitas Indonesia, 2009
S-Pdf
UI - Skripsi Open  Universitas Indonesia Library
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Saiful Bahri Musa
Document clustering by dynamic hierarchical algorithm based on fuzzy set type-ii from frequent item set
" One of ways to facilitate process of information retrieval is by performing clustering toward collection of the existing documents. The existing text documents are often unstructured. The forms are varied and their groupings are ambiguous. This cases cause difficulty on information retrieval process. More-over, every second new documents emerge and need to be clustered. Generally, static document clus-tering method performs clustering of document after whole documents are collected. However, per-forming re-clustering toward whole documents when ... "
Surabaya: Institut Teknologi Sepuluh Nopember, Faculty of Information Technology, Department of Informatics Engineering, 2016
AJ-Pdf
Artikel Jurnal  Universitas Indonesia Library
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Wishnu Hardi
Clustering topic groups of documents using k-means algorithm: Australian embassy Jakarta media releases
" The Australian Embassy in Jakarta stores a wide array of media release document. Analyzing particular and vital patterns of the documents collection is imperative as it may result new insights and knowledge of significant topic groups of the documents. K-Means algorithm was used as a non-hierarchical clustering method which partitioning data objects into clusters. The method works through minimizing data variation within clusters and maximizing data variation between clusters. Of the documents issued between 2006 ... "
Jakarta: Pusat Jasa Perpustakaan dan Informasi, 2019
020 VIS 21:1 (2019)
Artikel Jurnal  Universitas Indonesia Library