| Tài liệu tham khảo |
Loại |
Chi tiết |
| [1] PGS.TS Hoàng Xuân Huấn (2012), Giáo trình Nhận dạng mẫu, Trường Đại học công nghệ - Đại Học Quốc Gia Hà Nội.Tiếng Anh |
Sách, tạp chí |
| Tiêu đề: |
Giáo trình Nhận dạng mẫu |
| Tác giả: |
PGS.TS Hoàng Xuân Huấn |
| Năm: |
2012 |
|
| [2] Agrawal, Rakesh, Johannes Gehrke, Dimitrios Gunopulos and Prahhakar Raghavan (June 1998), “Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications”, Proceedings of the 1998 ACM-SIGMOD International Conference on Management of Data, Seattle, Washington, pp. 94 - 105 |
Sách, tạp chí |
| Tiêu đề: |
Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications”, "Proceedings of the 1998 ACM-SIGMOD International Conference on Management of Data, Seattle, Washington |
|
| [4] C. Aggarwal, C. Procopiuc, J.L. Wolf, P.S. Yu, J.S. Park (1999), “Fast algorithms for projected clustering”, in: Proceedings of the ACM SIGMOD InternationalConference on Management of Data, pp. 61 - 72 |
Sách, tạp chí |
| Tiêu đề: |
Fast algorithms for projected clustering”, "in: Proceedings of the ACM SIGMOD International "Conference on Management of Data |
| Tác giả: |
C. Aggarwal, C. Procopiuc, J.L. Wolf, P.S. Yu, J.S. Park |
| Năm: |
1999 |
|
| [5] C.C. Aggarwal, P.S. Yu (2000), “Finding generalized projected clusters in high dimen-sional spaces”, in: Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 70 - 81 |
Sách, tạp chí |
| Tiêu đề: |
Finding generalized projected clusters in high dimen-sional spaces”, "in: Proceedings of the ACM SIGMOD International Conference on Management of Data |
| Tác giả: |
C.C. Aggarwal, P.S. Yu |
| Năm: |
2000 |
|
| [6] C.H. Cheng, A.W. Fu, Y. Zhang (1999), “Entropy-based subspace clustering for mining numerical data”, in: Proceedings of the 5th ACM SIGKDD International Conference on Knowledge and Data Mining, pp. 84 - 93 |
Sách, tạp chí |
| Tiêu đề: |
Entropy-based subspace clustering for mining numerical data”, "in: Proceedings of the 5th ACM SIGKDD International Conference on Knowledge and Data Mining |
| Tác giả: |
C.H. Cheng, A.W. Fu, Y. Zhang |
| Năm: |
1999 |
|
| [7] C.M. Procopiuc, M. Jones, P.K. Agarwal, T.M. Murali (2002), “A Monte Carlo algorithm for fast projective clustering”, in: Proceedings of the ACM SIGMOD Conference on Management of Data, pp. 418 - 427 |
Sách, tạp chí |
| Tiêu đề: |
A Monte Carlo algorithm for fast projective clustering”, "in: Proceedings of the ACM SIGMOD Conference on Management of Data |
| Tác giả: |
C.M. Procopiuc, M. Jones, P.K. Agarwal, T.M. Murali |
| Năm: |
2002 |
|
| [8] Daniel Barbara, Julia Couto, Yi Li (October 1, 2001), “COOLCAT: An entropy- based algorithm for categorical clustering”, George MasonUniversity Information and Software Engineering Department Fairfax, VA22030, pp. 582 - 589 |
Sách, tạp chí |
| Tiêu đề: |
COOLCAT: An entropy-based algorithm for categorical clustering”, "George MasonUniversity Information and Software Engineering Department Fairfax, VA22030 |
|
| [9] J. Yang, W. Wang, H. Wang, P. Yu (2002), “D-clusters: capturing subspace correlation in a large data set”, in: Proceedings of the 18th International Conference |
Sách, tạp chí |
| Tiêu đề: |
D-clusters: capturing subspace correlation in a large data set |
| Tác giả: |
J. Yang, W. Wang, H. Wang, P. Yu |
| Năm: |
2002 |
|
| [10] Jiawei Han and Micheline Kamber (2001), “Data Mining: Concepts and Techniques”, Hacours Science and Technology Company, USA |
Sách, tạp chí |
| Tiêu đề: |
Data Mining: Concepts and Techniques” |
| Tác giả: |
Jiawei Han and Micheline Kamber |
| Năm: |
2001 |
|
| [11] K. Chakrabarti, S. Mehrotra (2000), “Local dimensionality reduction: a new approach to indexing high dimensional spaces”, in: Proceedings of the 26th Interna-tional Conference on Very Large Data Bases, pp. 89 - 100 |
Sách, tạp chí |
| Tiêu đề: |
Local dimensionality reduction: a new approach to indexing high dimensional spaces”, "in: Proceedings of the 26th Interna-tional Conference on Very Large Data Bases |
| Tác giả: |
K. Chakrabarti, S. Mehrotra |
| Năm: |
2000 |
|
| [12] K.C. Gowda, E. Diday (1991), “Symbolic clustering using a new dissimilarity measure”, Pattern Recognition 24 (6), pp. 567 - 578 |
Sách, tạp chí |
| Tiêu đề: |
Symbolic clustering using a new dissimilarity measure”, "Pattern Recognition 24 (6) |
| Tác giả: |
K.C. Gowda, E. Diday |
| Năm: |
1991 |
|
| [13] K.G. Woo, J.H. Lee (2002), “Find it: a fast and intelligent subspace clustering algorithm using dimension voting”, Ph.D. Dissertation, Korea Advanced Institute of Science and Technology, pp. 255 - 271 |
Sách, tạp chí |
| Tiêu đề: |
Find it: a fast and intelligent subspace clustering algorithm using dimension voting”, "Ph.D. Dissertation, Korea Advanced Institute of Science and Technology |
| Tác giả: |
K.G. Woo, J.H. Lee |
| Năm: |
2002 |
|
| [14] K.Y. Yip, D.W. Cheung, M.K. Ng (2004), “A practical projected clustering algorithm”, IEEETransactions on Knowledge and Data Engineering 16 (11), pp.1387 - 1397 |
Sách, tạp chí |
| Tiêu đề: |
A practical projected clustering algorithm”, "IEEETransactions on Knowledge and Data Engineering 16 (11) |
| Tác giả: |
K.Y. Yip, D.W. Cheung, M.K. Ng |
| Năm: |
2004 |
|
| [15] Ka Y ee Y eung, Walter L. Ruzzo (May 3, 2001), Details of the Adjusted Rand index and Clustering algorithmsSupplement to the paper “An empirical study on Principal Component Analysis for clustering gene expression data” (To appear in Bioinformatics), pp. 763 - 774 |
Sách, tạp chí |
| Tiêu đề: |
An empirical study on Principal Component Analysis for clustering gene expression data |
|
| [16] L.P. Jing, M.K. Ng, Z.X. Huang (2007), “An entropy weighting k-means algorithm for subspace clustering of high-dimensional sparse data”, IEEE Transactions on Knowledge and Data Engineering 19 (8), pp. 1026 - 1041 |
Sách, tạp chí |
| Tiêu đề: |
An entropy weighting k-means algorithm for subspace clustering of high-dimensional sparse data”, "IEEE Transactions on Knowledge and Data Engineering 19 (8) |
| Tác giả: |
L.P. Jing, M.K. Ng, Z.X. Huang |
| Năm: |
2007 |
|
| [17] Liang Bai a, b , Jiye Liang a, * , Chuangyin Dang b , Fuyuan Cao a (2011), “A novel attribute weighting algorithm for clustering high-dimensional categorical data”, Pattern Recognition 44(2011), pp. 2843 - 2861 |
Sách, tạp chí |
| Tiêu đề: |
A novel attribute weighting algorithm for clustering high-dimensional categorical data”, "Pattern Recognition 44(2011) |
| Tác giả: |
Liang Bai a, b , Jiye Liang a, * , Chuangyin Dang b , Fuyuan Cao a (2011), “A novel attribute weighting algorithm for clustering high-dimensional categorical data”, Pattern Recognition 44 |
| Năm: |
2011 |
|
| [18] MARIA HALKIDI (2001), “On Clustering Validation Techniques”, Kluwer Academic Publishers, Holland |
Sách, tạp chí |
| Tiêu đề: |
On Clustering Validation Techniques” |
| Tác giả: |
MARIA HALKIDI |
| Năm: |
2001 |
|
| [20] Tian Zhang Raghu Ramakrishnan Miron Livny (1996), “BIRCH: An Efficient Data Clustering Method for Very Large Databases”, SIGMOD ’96 6/96 Montreal, Canada IQ 1996 ACM 0-89791 -794-4/96/0006, pp. 103 - 114 |
Sách, tạp chí |
| Tiêu đề: |
BIRCH: An Efficient Data Clustering Method for Very Large Databases”, "SIGMOD ’96 6/96 Montreal, Canada IQ 1996 ACM 0-89791 -794-4/96/0006 |
| Tác giả: |
Tian Zhang Raghu Ramakrishnan Miron Livny |
| Năm: |
1996 |
|
| [21] Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth (1996), “From Data Mining to Knowledge Discovery”: An Overview, Advances in Knowledge Discovery and Data Mining 1996, pp. 37 - 54 |
Sách, tạp chí |
| Tiêu đề: |
From Data Mining to Knowledge Discovery”": An Overview, Advances in Knowledge Discovery and Data Mining 1996 |
| Tác giả: |
Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth |
| Năm: |
1996 |
|
| [22] Y. Chan, W. Ching, M.K. Ng, Z.X. Huang (2004), “An optimization algorithm for clustering using weighted dissimilarity measures”, Pattern Recognition 37 (5), pp.943 - 952 |
Sách, tạp chí |
| Tiêu đề: |
An optimization algorithm for clustering using weighted dissimilarity measures”, "Pattern Recognition 37 (5) |
| Tác giả: |
Y. Chan, W. Ching, M.K. Ng, Z.X. Huang |
| Năm: |
2004 |
|