-
1
-
-
84886567160
-
-
Irvine, CA: University of California, School of Information and Computer Science
-
Bache, K., & Lichman, M. (2013). UCI machine learning repository [ http://archive.ics.uci.edu/ml ]. Irvine, CA: University of California, School of Information and Computer Science.
-
(2013)
UCI Machine Learning Repository
-
-
Bache, K.1
Lichman, M.2
-
2
-
-
0037209504
-
Breast cancer detection using nearest neighbor classification rules
-
S.C. Bagui, S. Bagui, and K. Pal Breast cancer detection using nearest neighbor classification rules Pattern Recognition 36 2003 25 34
-
(2003)
Pattern Recognition
, vol.36
, pp. 25-34
-
-
Bagui, S.C.1
Bagui, S.2
Pal, K.3
-
8
-
-
85170282443
-
A density-based algorithm for discovering clusters in large spatial databases with noise
-
Ester, M., Kriegel, H. P., Sander, J., & Xu, X. (1996). A density-based algorithm for discovering clusters in large spatial databases with noise. In Proceedings of 2nd international conference on knowledge discovery and data mining (pp. 226-231).
-
(1996)
Proceedings of 2nd International Conference on Knowledge Discovery and Data Mining
, pp. 226-231
-
-
Ester, M.1
Kriegel, H.P.2
Sander, J.3
Xu, X.4
-
10
-
-
0242712881
-
KNN model-based approach in classification
-
R. Meersman, Z. Tari, & D. C. Schmidt (Eds.)
-
Guo, G., Wang, H., Bell, D., Bi, Y., & Greer, K. (2003). KNN model-based approach in classification. In R. Meersman, Z. Tari, & D. C. Schmidt (Eds.), On the move to meaningful internet systems 2003: CoopIS, DOA, and ODBASE, Lecture notes in computer science (Vol. 2888, pp. 986-996).
-
(2003)
On the Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE, Lecture Notes in Computer Science
, vol.2888
, pp. 986-996
-
-
Guo, G.1
Wang, H.2
Bell, D.3
Bi, Y.4
Greer, K.5
-
11
-
-
0033100624
-
A new nearest-neighbor rule in the pattern classification problem
-
K. Hattori, and M. Takahashi A new nearest-neighbor rule in the pattern classification problem Pattern Recognition 32 1999 425 432
-
(1999)
Pattern Recognition
, vol.32
, pp. 425-432
-
-
Hattori, K.1
Takahashi, M.2
-
13
-
-
0026924875
-
Relative neighborhood graphs and their relatives
-
J.W. Jaromczyk, and G.T. Toussaint Relative neighborhood graphs and their relatives Proceedings of the IEEE 80 9 1992 1502 1517
-
(1992)
Proceedings of the IEEE
, vol.80
, Issue.9
, pp. 1502-1517
-
-
Jaromczyk, J.W.1
Toussaint, G.T.2
-
15
-
-
44049090824
-
Survey of improving k-nearest-neighbor for classification
-
Jiang, L., Cai, Z., Wang, D., & Jiang, S. (2007). Survey of improving k-nearest-neighbor for classification. In Proceedings of 4th international conference on fuzzy systems and knowledge discovery (pp. 679-683).
-
(2007)
Proceedings of 4th International Conference on Fuzzy Systems and Knowledge Discovery
, pp. 679-683
-
-
Jiang, L.1
Cai, Z.2
Wang, D.3
Jiang, S.4
-
16
-
-
0022219988
-
A fuzzy k-nearest neighbor algorithm
-
J.M. Keller, M.R. Gray, and J.A. Givens A fuzzy k-nearest neighbor algorithm IEEE Transactions on Systems, Man, and Cybernetics 15 1985 580 585
-
(1985)
IEEE Transactions on Systems, Man, and Cybernetics
, vol.15
, pp. 580-585
-
-
Keller, J.M.1
Gray, M.R.2
Givens, J.A.3
-
18
-
-
0031273787
-
On the use of neighborhood-based non-parametric classifiers
-
J.S. Sanchez, F. Pla, and F.J. Ferri On the use of neighborhood-based non-parametric classifiers Pattern Recognition Letters 18 1997 1179 1186
-
(1997)
Pattern Recognition Letters
, vol.18
, pp. 1179-1186
-
-
Sanchez, J.S.1
Pla, F.2
Ferri, F.J.3
-
19
-
-
0031164017
-
Prototype selection for the nearest neighbor rule through proximity graphs
-
J.S. Sanchez, F. Pla, and F.J. Ferri Prototype selection for the nearest neighbor rule through proximity graphs Pattern Recognition Letters 18 1997 507 513
-
(1997)
Pattern Recognition Letters
, vol.18
, pp. 507-513
-
-
Sanchez, J.S.1
Pla, F.2
Ferri, F.J.3
-
21
-
-
84864922736
-
Proximity-graph instance-based learning, support vector machines, and high dimensionality: An empirical comparison
-
Toussaint, G. T., & Berzan, C., (2012). Proximity-graph instance-based learning, support vector machines, and high dimensionality: An empirical comparison. In Proceedings of the 8th international conference on machine learning and data mining in pattern recognition (pp. 222-236).
-
(2012)
Proceedings of the 8th International Conference on Machine Learning and Data Mining in Pattern Recognition
, pp. 222-236
-
-
Toussaint, G.T.1
Berzan, C.2
-
22
-
-
0019226255
-
On the dominance of nonparametric Bayes rule discriminant algorithms in high dimensions
-
J. Van Ness On the dominance of nonparametric Bayes rule discriminant algorithms in high dimensions Pattern Recognition 12 6 1980 355 368
-
(1980)
Pattern Recognition
, vol.12
, Issue.6
, pp. 355-368
-
-
Van Ness, J.1
-
23
-
-
84930245350
-
SNNB: A selective neighborhood-based naive Bayes for lazy learning
-
Xie, Z., Hsu, W., Liu, Z., & Lee, M. (2002). SNNB: A selective neighborhood-based naive Bayes for lazy learning. In Proceedings of the sixth Pacific-Asia conference on knowledge discovery and data mining (pp. 104-114).
-
(2002)
Proceedings of the Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining
, pp. 104-114
-
-
Xie, Z.1
Hsu, W.2
Liu, Z.3
Lee, M.4
-
25
-
-
32144459991
-
Improving nearest neighbor classification with cam weighted distance
-
C.Y. Zhou, and Y.Q. Chen Improving nearest neighbor classification with cam weighted distance Pattern Recognition 39 2006 635 645
-
(2006)
Pattern Recognition
, vol.39
, pp. 635-645
-
-
Zhou, C.Y.1
Chen, Y.Q.2
-
26
-
-
77954351230
-
An improved k-NN text classification algorithm based on clustering
-
Y. Zhou, Y. Li, and S. Xia An improved k-NN text classification algorithm based on clustering Journal of Computers 4 3 2009 230 237
-
(2009)
Journal of Computers
, vol.4
, Issue.3
, pp. 230-237
-
-
Zhou, Y.1
Li, Y.2
Xia, S.3
|