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Penyiapan Pembelajaran Melalui Cluster Learning System Sebagai Model Pembelajaran Alternatif dalam Meningkatkan Kualitas Pembelajaran Mahasiswa
Oleh:
Krisnanik, Erly
Jenis:
Article from Journal - ilmiah nasional
Dalam koleksi:
Bina Widya: Majalah ilmiah UPN "Veteran" Jakarta vol. 22 no. 4 (Jun. 2011)
,
page 211-215.
Topik:
information retrieval
;
fuzzy clustering
Ketersediaan
Perpustakaan Pusat (Semanggi)
Nomor Panggil:
BB24.3
Non-tandon:
1 (dapat dipinjam: 0)
Tandon:
tidak ada
Lihat Detail Induk
Isi artikel
This article analyzes the suitability of fuzzy clustering methods for the discovery of relevant document relationships. The performance evaluation of three fuzzy clustering algorithms (Fuzzy C-Means, Hyper-spherical Fuzzy C-Means and Fuzzy Subtractive Clustering) on document written in bahasa Indonesia and English. Comparison of three different document representation formula (Term Frequency, Term Frequency inverse Document Frequency and Salton) using various reduction of matrix dimension are also carried out. Clustering precision and recall are applied as quantitative evaluation measures of the clustering results. The experiments using document sets with various topic have shown that Hyper-spherical Fuzzy C-Means algorithm perform better than Fuzzy C-Means and Fuzzy Subtractive Clustering algorithm. Also found that Salton formula is able to give documentation representation to the clustering algorithm as Tf and Tf-ldf are failed.
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