Heterogeneous distributed clustering by the fuzzy membership and hierarchiacal structure / Jih-Jeng Huang
Jih-Jeng Huang;
(Taylor and Francis, 2018)
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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 |
| 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 |
| No. Panggil | No. Barkod | Ketersediaan |
|---|---|---|
| 658 JIPE 35:3 (2018) | 03-18-062924510 | TERSEDIA |
| Ulasan: |
| Tidak ada ulasan pada koleksi ini: 20471994 |
