-
1
-
-
0027453616
-
Model-based Gaussian and non-Gaussian Clustering
-
[BR93]
-
[BR93] J. Banfield and A. Raftery, “Model-based Gaussian and non-Gaussian Clustering”, Biometrics, vol. 49: 803-821, pp. 15-34, 1993.
-
(1993)
Biometrics
, vol.49
, Issue.803-821
, pp. 15-34
-
-
Banfield, J.1
Raftery, A.2
-
3
-
-
84898974025
-
Clustering via Concave Minimization
-
[BMS97] in M. C. Mozer, M. I. Jordan, and T. Petsche (Eds) MIT Press, 1997
-
[BMS97] P. S. Bradley, O. L. Mangasarian, and W. N. Street. 1997. "Clustering via Concave Minimization", in Advances in Neural Information Processing Systems 9, M. C. Mozer, M. I. Jordan, and T. Petsche (Eds.) pp 368-374, MIT Press, 1997.
-
(1997)
Advances in Neural Information Processing Systems
, vol.9
, pp. 368-374
-
-
Bradley, P. S.1
Mangasarian, O. L.2
Street, W. N.3
-
6
-
-
0002629270
-
Maximum Likelihood from Incomplete Data via the EM algorithm
-
[DLR77]
-
[DLR77] A.P. Dempster, N.M. Laird, and D.B. Rubin, “Maximum Likelihood from Incomplete Data via the EM algorithm”. Journal of the Royal Statistical Society, Series B, 39(1): 1-38, 1977.
-
(1977)
Journal of the Royal Statistical Society, Series B
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
10
-
-
0343442766
-
Knowledge Acquisition via Incremental Conceptual Clustering
-
[F87]
-
[F87] D. Fisher. “Knowledge Acquisition via Incremental Conceptual Clustering”. Machine Learning, 2:139-172, 1987.
-
(1987)
Machine Learning
, vol.2
, pp. 139-172
-
-
Fisher, D.1
-
12
-
-
0000001205
-
A note on sampling from a tape file
-
[J62]
-
[J62] Jones, “A note on sampling from a tape file”. Communications of the ACM, vol 5, 1962.
-
(1962)
Communications of the ACM
, vol.5
-
-
Jones1
-
15
-
-
0000019005
-
Clustering Algorithms
-
[R92] in Frakes and Baeza-Yates (Eds), New Jersey: Prentice Hall
-
[R92] E. Rasmussen, “Clustering Algorithms”, in Information Retrieval Data Structures and Algorithms, Frakes and Baeza-Yates (Eds.), pp. 419-442, New Jersey: Prentice Hall, 1992.
-
(1992)
Information Retrieval Data Structures and Algorithms
, pp. 419-442
-
-
Rasmussen, E.1
-
17
-
-
0021202650
-
K-Means-Type Algorithms: A Generalized Convergence Theorem and Characterization of Local Optimality
-
[SI84]
-
[SI84] S. Z. Selim and M. A. Ismail, "K-Means-Type Algorithms: A Generalized Convergence Theorem and Characterization of Local Optimality." IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. PAMI-6, No. 1, 1984.
-
(1984)
IEEE Trans. on Pattern Analysis and Machine Intelligence
, vol.PAMI-6
, Issue.1
-
-
Selim, S. Z.1
Ismail, M. A.2
-
19
-
-
0042883423
-
Learning Mixtures of Bayesian Networks
-
[TMCH97] Redmond, WA
-
[TMCH97] B. Thiesson, C. Meek, D. Chickering, and D. Heckerman, 1997. "Learning Mixtures of Bayesian Networks", Microsoft Research Technical Report TR-97-30, Redmond, WA.
-
(1997)
Microsoft Research Technical Report TR-97-30
-
-
Thiesson, B.1
Meek, C.2
Chickering, D.3
Heckerman, D.4
|