Clustering analysis using a self - organized network inspered by immune algorithm
by Rahmat Widyanto, Benyamin Kusumoputro, Kaoru Hirota ([Publisher not identified]
, 2002)
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| An automatic construction of neurons in neural network inspired by immune algorithm is proposed. The new network is combined with the contiguity-constrained method to perform clustering analysis. The applicability of this technique is tested with two widely reference machine-learning cases. The experiment shows that the new technique achieved 99.33% and 100% correctness for Iris plant data and wine recognition data respectively, better than other popular clustering methods. |
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| No. Panggil : | JIKT-2-2-Nov2002-35 |
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| Penerbitan : | [Place of publication not identified]: [Publisher not identified], 2002 |
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| Majalah/Jurnal : | Jurnal Ilmu Komputer dan Teknologi Informasi |
| Volume : | Vol. 2 (2) November 2002: 35-40 |
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| Institusi Pemilik : | Universitas Indonesia |
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| No. Panggil | No. Barkod | Ketersediaan |
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| JIKT-2-2-Nov2002-35 | 03-20-318485297 | TERSEDIA |
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| Tidak ada ulasan pada koleksi ini: 90428 |
