-
2
-
-
34547681969
-
GAPS: A clustering method using a newpoint symmetry-based distance measure
-
S. Bandyopadhyay and S. Saha. GAPS: A clustering method using a newpoint symmetry-based distance measure. Pat- Tern Recognition, 40:3430-3451, 2007.
-
(2007)
Pat- Tern Recognition
, vol.40
, pp. 3430-3451
-
-
Bandyopadhyay, S.1
Saha, S.2
-
3
-
-
26244461684
-
Clustering with bregman divergences
-
A. Banerjee, S. Merugu, I. S. Dhillon, and J. Ghosh. Clustering with bregman divergences. J. Machine Learning Research, 6:1705-1749, 2005.
-
(2005)
J. Machine Learning Research
, vol.6
, pp. 1705-1749
-
-
Banerjee, A.1
Merugu, S.2
Dhillon, I.S.3
Ghosh, J.4
-
4
-
-
9444279511
-
Doc- ument clustering into an unknown number of clusters using a genetic algorithm
-
A. Casillas, M. González de Lena, and R. Martínez. Doc- ument clustering into an unknown number of clusters using a genetic algorithm. In Text, Speech and Dialogue, pages 43-49, 2003.
-
(2003)
Text, Speech and Dialogue
, pp. 43-49
-
-
Casillas, A.1
De Lena, M.G.2
Martínez, R.3
-
6
-
-
0034824884
-
Concept decompositions for large sparse text data using clustering
-
I. S. Dhillon and D. S. Modha. Concept decompositions for large sparse text data using clustering. Machine Learning, 42(1):143-175, 2001.
-
(2001)
Machine Learning
, vol.42
, Issue.1
, pp. 143-175
-
-
Dhillon, I.S.1
Modha, D.S.2
-
7
-
-
37549018049
-
Top 10 algorithms in data mining
-
X. Wu et al. Top 10 algorithms in data mining. Knowledge and Information Systems, 14(1):1-37, 2008.
-
(2008)
Knowledge and Information Systems
, vol.14
, Issue.1
, pp. 1-37
-
-
Wu, X.1
-
8
-
-
84880245758
-
Multi-focal learning and its application to customer service support
-
Y. Ge et al. Multi-focal Learning and Its Application to Customer Service Support. In KDD'09.
-
KDD'09
-
-
Ge, Y.1
-
10
-
-
77950369345
-
Data clustering: 50 years beyond k-means
-
A. K. Jain. Data clustering: 50 years beyond k-means. Pattern Recognition Letters, 31:651-666, 2010.
-
(2010)
Pattern Recognition Letters
, vol.31
, pp. 651-666
-
-
Jain, A.K.1
-
14
-
-
0030189865
-
In search of optimal clus- Ters using genetic algorithms
-
C.A. Murthy and N. Chowdhury. In search of optimal clus- Ters using genetic algorithms. Pattern Recognition Letters, 17(8):825-832, 1996.
-
(1996)
Pattern Recognition Letters
, vol.17
, Issue.8
, pp. 825-832
-
-
Murthy, C.A.1
Chowdhury, N.2
-
15
-
-
9444220002
-
Learning a distance metric from relative comparisons
-
M. Schultz and T. Joachims. Learning a distance metric from relative comparisons. In NIPS'03.
-
NIPS'03
-
-
Schultz, M.1
Joachims, T.2
-
19
-
-
84880193748
-
Adapting the right measures for k-means clustering
-
J. Wu, H. Xiong, and J. Chen. Adapting the right measures for k-means clustering. In KDD'09.
-
KDD'09
-
-
Wu, J.1
Xiong, H.2
Chen, J.3
-
20
-
-
84879571292
-
Distance metric learning, with application to clustering with side- information
-
E.P. Xing, A.Y. Ng, M.I. Jordan, and S. Russell. Distance metric learning, with application to clustering with side- information. In NIPS'02.
-
NIPS'02
-
-
Xing, E.P.1
Ng, A.Y.2
Jordan, M.I.3
Russell, S.4
-
21
-
-
3543085722
-
Empirical and theoretical compar- isons of selected criterion functions for document clustering
-
Y. Zhao and G. Karypis. Empirical and theoretical compar- isons of selected criterion functions for document clustering. Machine Learning, 55(3):311-331, 2004.
-
(2004)
Machine Learning
, vol.55
, Issue.3
, pp. 311-331
-
-
Zhao, Y.1
Karypis, G.2
|