Artikel Jurnal :: Kembali

Artikel Jurnal :: Kembali

Heterogeneous distributed clustering by the fuzzy membership and hierarchiacal structure / Jih-Jeng Huang

Jih-Jeng Huang; (Taylor and Francis, 2018)

 Abstrak

ABSTRAK
Clustering analysis is a useful way to group similar data together according to the information on the distance between data for possible further analysis. However, with the issue of big data, traditional clustering algorithms are restricted because of the problem of computational time, storage, and memory

 Kata Kunci

 Metadata

Jenis Koleksi : Artikel Jurnal
No. Panggil : 658 JIPE 35:3 (2018)
Entri utama-Nama orang :
Subjek :
Penerbitan : [Place of publication not identified]: Taylor and Francis, 2018
Sumber Pengatalogan : LibUI eng rda
ISSN : 21681015
Majalah/Jurnal : Journal of industrial and production engineering
Volume : Vol. 35, No. 3, April 2018; 189-198
Tipe Konten : text
Tipe Media : unmediated
Tipe Carrier : volume
Akses Elektronik :
Institusi Pemilik : Universitas Indonesia
Lokasi : Perpustakaan UI, Lantai 4, R. Koleksi Jurnal
  • Ketersediaan
  • Ulasan
  • Sampul
No. Panggil No. Barkod Ketersediaan
658 JIPE 35:3 (2018) 03-18-062924510 TERSEDIA
Ulasan:
Tidak ada ulasan pada koleksi ini: 20471994
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