thông tin biểu ghi
  • Bài trích
  • Ký hiệu PL/XG: 332
    Nhan đề: An improvement of trusted safe semi-supervised fuzzy clustering method with multiple fuzzifiers /

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
000 00000nab#a2200000ui#4500
00152450
0029
0045A42ABAF-6FDA-44E4-8C98-0FB4492750A4
005202409261356
008081223s VN| vie
0091 0
039|y20240926140024|ztainguyendientu
040 |aACTVN
041 |avie
044 |avm
082 |a332
10010|aTran, Manh Tuan
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.
653 |aFuzzy cluster
653 |aFuzzy clustering
653 |aSafe semi-supervised
653 |aSemi-supervised fuzzy clustering
700 |aPham, Huy Thong
700 |aPhung, The Huan
7730 |tTạp chí Tin học và Điều khiển học = Journal of Computer Science And Cybernetics |d2022|gtr. 84-101|x1813-9663|i01
890|a0|b0|c1|d0
Không tìm thấy biểu ghi nào