DDC
| 332 |
Tác giả CN
| Tran, Manh Tuan |
Nhan đề
| An improvement of trusted safe semi-supervised fuzzy clustering method with multiple fuzzifiers / Tran Manh Tuan, Phung The Huan, Pham Huy Thong..[and others] |
Tóm tắt
| In this research, an improvement algorithm for the data partition with confidence problem and multi fuzzifier named as TS3MFCM is introduced. The proposed method consists of three steps namely as FCM for labeled data”, “Data transformation”, and “Semi-supervised fuzzy clustering with multiple point fuzzifiers”. The proposed TS3MFCM method is implemented and experimentally compared against with the Confidence-weighted Safe Semi-Supervised Clustering (CS3FCM). The performance of proposed method is better than selected methods in both computational time and clustering accuracy on the same datasets. |
Từ khóa tự do
| Fuzzy cluster |
Từ khóa tự do
| Fuzzy clustering |
Từ khóa tự do
| Safe semi-supervised |
Từ khóa tự do
| Semi-supervised fuzzy clustering |
Tác giả(bs) CN
| Pham, Huy Thong |
Tác giả(bs) CN
| Phung, The Huan |
Nguồn trích
| Tạp chí Tin học và Điều khiển học = Journal of Computer Science And Cybernetics 2022tr. 84-101
Số: 01 |
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000
| 00000nab#a2200000ui#4500 |
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001 | 52450 |
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002 | 9 |
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004 | 5A42ABAF-6FDA-44E4-8C98-0FB4492750A4 |
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005 | 202409261356 |
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008 | 081223s VN| vie |
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009 | 1 0 |
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039 | |y20240926140024|ztainguyendientu |
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040 | |aACTVN |
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041 | |avie |
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044 | |avm |
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082 | |a332 |
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100 | 10|aTran, Manh Tuan |
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245 | |aAn improvement of trusted safe semi-supervised fuzzy clustering method with multiple fuzzifiers / |cTran Manh Tuan, Phung The Huan, Pham Huy Thong..[and others] |
---|
520 | |aIn this research, an improvement algorithm for the data partition with confidence problem and multi fuzzifier named as TS3MFCM is introduced. The proposed method consists of three steps namely as FCM for labeled data”, “Data transformation”, and “Semi-supervised fuzzy clustering with multiple point fuzzifiers”. The proposed TS3MFCM method is implemented and experimentally compared against with the Confidence-weighted Safe Semi-Supervised Clustering (CS3FCM). The performance of proposed method is better than selected methods in both computational time and clustering accuracy on the same datasets. |
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653 | |aFuzzy cluster |
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653 | |aFuzzy clustering |
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653 | |aSafe semi-supervised |
---|
653 | |aSemi-supervised fuzzy clustering |
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700 | |aPham, Huy Thong |
---|
700 | |aPhung, The Huan |
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773 | 0 |tTạp chí Tin học và Điều khiển học = Journal of Computer Science And Cybernetics |d2022|gtr. 84-101|x1813-9663|i01 |
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890 | |a0|b0|c1|d0 |
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