-
2
-
-
0002550769
-
Refining initial points for K-means clustering
-
Sharlik, J. (Ed.), Morgan Kaufmann, San Francisco, CA
-
Bradley, P.S., Fayyad, U.M., 1998. Refining initial points for K-means clustering. In: Sharlik, J. (Ed.), Proc. 15th Internat. Conf. on Machine Learning (ICML'98). Morgan Kaufmann, San Francisco, CA, pp. 91-99.
-
(1998)
Proc. 15th Internat. Conf. on Machine Learning (ICML'98)
, pp. 91-99
-
-
Bradley, P.S.1
Fayyad, U.M.2
-
3
-
-
84898974025
-
Clustering via concave minimization
-
Mozer, M.C., Jordan, M.I., Petsche, T. (Eds.), MIT Press
-
Bradley, P.S., Mangasarian, O.L., Street, W.N., 1997. Clustering via concave minimization. In: Mozer, M.C., Jordan, M.I., Petsche, T. (Eds.), Advances in Neural Information Processing System, vol. 9. MIT Press, pp. 368-374.
-
(1997)
Advances in Neural Information Processing System
, vol.9
, pp. 368-374
-
-
Bradley, P.S.1
Mangasarian, O.L.2
Street, W.N.3
-
6
-
-
0003641269
-
-
AAAI Press
-
Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R., 1996. Advances in Knowledge Discovery and Data Mining. AAAI Press.
-
(1996)
Advances in Knowledge Discovery and Data Mining
-
-
Fayyad, U.M.1
Piatetsky-Shapiro, G.2
Smyth, P.3
Uthurusamy, R.4
-
7
-
-
0000764772
-
The use of multiple measurements in taxonomic problems
-
Fisher, R.A., 1936. The use of multiple measurements in taxonomic problems. Ann. Eugenic. 7 (part 2), 179-188.
-
(1936)
Ann. Eugenic.
, vol.7
, Issue.PART 2
, pp. 179-188
-
-
Fisher, R.A.1
-
12
-
-
0001457509
-
Some methods for classification and analysis of multivariate observations
-
Le Cam, L.M., Neyman, J. (Eds.), University of California Press, xvii
-
Mac Queen, J., 1967. Some methods for classification and analysis of multivariate observations (pp. 281-297). In: Le Cam, L.M., Neyman, J. (Eds.), Proc. 5th Berkley Symp. on Mathematical Statistics and Probability, vol. I. University of California Press, xvii pp. 666.
-
(1967)
Proc. 5th Berkley Symp. on Mathematical Statistics and Probability
, vol.1
, pp. 281-297
-
-
Mac Queen, J.1
-
13
-
-
0001788080
-
An experimental comparison of several clustering methods
-
Redmond, WA
-
Meila, M., Heckerman, D., 1998. An experimental comparison of several clustering methods, Microsoft Research Report MSR-TR-98-06, Redmond, WA.
-
(1998)
Microsoft Research Report
, vol.MSR-TR-98-06
-
-
Meila, M.1
Heckerman, D.2
-
14
-
-
0036603438
-
Density based multiscale data condensation
-
Mitra, P., Murthy, C.A., Pal, S.K., 2002. Density based multiscale data condensation. IEEE Trans. Pattern Anal. Machine Intell. 24 (6), 734-747.
-
(2002)
IEEE Trans. Pattern Anal. Machine Intell.
, vol.24
, Issue.6
, pp. 734-747
-
-
Mitra, P.1
Murthy, C.A.2
Pal, S.K.3
-
16
-
-
0033204902
-
An empirical comparison of four initialization methods for the K-means algorithm
-
Penã, J.M., Lozano, J.A., Larrañaga, P., 1999. An empirical comparison of four initialization methods for the K-means algorithm. Pattern Recognition Lett. 20, 1027-1040.
-
(1999)
Pattern Recognition Lett.
, vol.20
, pp. 1027-1040
-
-
Penã, J.M.1
Lozano, J.A.2
Larrañaga, P.3
-
18
-
-
0014810305
-
Numerical methods for fuzzy clustering
-
Ruspini, E.H., 1970. Numerical methods for fuzzy clustering. Inform. Sci. 2, 319-350.
-
(1970)
Inform. Sci.
, vol.2
, pp. 319-350
-
-
Ruspini, E.H.1
-
19
-
-
0042883423
-
Learning mixtures of Bayesian networks
-
Redmond, WA
-
Thiesson, B. Meck, C., Chiekering, D., Heekerman, D., 1997. Learning mixtures of Bayesian networks, Microsoft Research Technical Report TR-97-30, Redmond, WA.
-
(1997)
Microsoft Research Technical Report
, vol.TR-97-30
-
-
Thiesson, B.1
Meck, C.2
Chiekering, D.3
Heekerman, D.4
-
20
-
-
84883415528
-
-
UCI Repository (http://www.sgi.com/tech/mlc/db/).
-
UCI Repository
-
-
-
21
-
-
0003957032
-
-
Morgan Kaufmann Publishers, San Francisco, CA
-
Witten, H.I., Frank, E., 2000. Data Mining Practical Machine Learning Tools and Techniques with Java Implementation. Morgan Kaufmann Publishers, San Francisco, CA.
-
(2000)
Data Mining Practical Machine Learning Tools and Techniques with Java Implementation
-
-
Witten, H.I.1
Frank, E.2
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