-
2
-
-
0021412027
-
Vector quantization
-
Gray R. Vector quantization. IEEE ASSP Mag. (1984) 4-29
-
(1984)
IEEE ASSP Mag.
, pp. 4-29
-
-
Gray, R.1
-
4
-
-
0027632248
-
Neural gas network for vector quantization and its application to time-series prediction
-
Martinetz T., Berkovich S., and Schulten K. Neural gas network for vector quantization and its application to time-series prediction. IEEE Trans. Neural Networks 4 4 (1993) 558-569
-
(1993)
IEEE Trans. Neural Networks
, vol.4
, Issue.4
, pp. 558-569
-
-
Martinetz, T.1
Berkovich, S.2
Schulten, K.3
-
5
-
-
85135470835
-
A growing neural gas network learns topologies
-
Fritzke B. A growing neural gas network learns topologies. Adv. Neural Inf. Process. Syst. 7 (1995) 625-632
-
(1995)
Adv. Neural Inf. Process. Syst.
, vol.7
, pp. 625-632
-
-
Fritzke, B.1
-
7
-
-
2442617843
-
Issues in data stream management
-
Golab L., and Tamer M. Issues in data stream management. SIGMOD Rec. 32 2 (2003) 5-14
-
(2003)
SIGMOD Rec.
, vol.32
, Issue.2
, pp. 5-14
-
-
Golab, L.1
Tamer, M.2
-
9
-
-
35448929902
-
-
A. Same, C. Ambroise, G. Govaert, A mixture model approach for online clustering, in: COMPSTAT'2004 Symposium, Physica Verlag/Springer, 2004.
-
-
-
-
10
-
-
84898462184
-
-
O. Arandjelovic, R. Cipolla, Incremental learning of temporally-coherent gaussian mixture models, in: British Machine Vision Conference 2005, 2005.
-
-
-
-
11
-
-
35448953596
-
-
J. MacQueen, Some methods for classification and analysis of multivariate observations, in: Proceedings of Fifth Berkeley Symposium on Mathematics, Statistics and Probability, 1967, pp. 281-298.
-
-
-
-
13
-
-
84974743850
-
Fuzzy model identification based on cluster estimation
-
Chiu S. Fuzzy model identification based on cluster estimation. J. Intell. Fuzzy Syst. 2 3 (1994) 267-278
-
(1994)
J. Intell. Fuzzy Syst.
, vol.2
, Issue.3
, pp. 267-278
-
-
Chiu, S.1
-
14
-
-
0018057468
-
-
D. Gustafson, W. Kessel, Fuzzy clustering with a fuzzy covariance matrix, in: Proceedings of IEEE CDC, San Diego, CA, USA, 1979, pp. 761-766.
-
-
-
-
15
-
-
0002607813
-
Constructing fuzzy models by product space clustering
-
Hellendoorn H., and Driankov D. (Eds), Springer, Berlin
-
Babuska R., and Verbruggen H. Constructing fuzzy models by product space clustering. In: Hellendoorn H., and Driankov D. (Eds). Fuzzy Model Identification: Selected Approaches (1997), Springer, Berlin 53-90
-
(1997)
Fuzzy Model Identification: Selected Approaches
, pp. 53-90
-
-
Babuska, R.1
Verbruggen, H.2
-
17
-
-
23944485710
-
-
E. Lughofer, E. Klement, FLEXFIS: a variant for incremental learning of Takagi-Sugeno fuzzy systems, in: Proceedings of FUZZ-IEEE 2005, Reno, NV, USA, 2005, pp. 915-920.
-
-
-
-
19
-
-
0002954208
-
Adaptive resonance theory
-
(art),. Arbib M.A. (Ed), MIT Press, Cambridge, MA
-
Carpenter G.A., and Grossberg S. Adaptive resonance theory. (art),. In: Arbib M.A. (Ed). The Handbook of Brain Theory and Neural Networks (1995), MIT Press, Cambridge, MA 79-82
-
(1995)
The Handbook of Brain Theory and Neural Networks
, pp. 79-82
-
-
Carpenter, G.A.1
Grossberg, S.2
-
20
-
-
0003684449
-
-
Springer, New York, Berlin, Heidelberg, Germany
-
Hastie T., Tibshirani R., and Friedman J. The Elements of Statistical Learning: Data Mining, Inference and Prediction (2001), Springer, New York, Berlin, Heidelberg, Germany
-
(2001)
The Elements of Statistical Learning: Data Mining, Inference and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
21
-
-
33745499570
-
An approach to model-based fault detection in industrial measurement systems with application to engine test benches
-
Angelov P., Giglio V., Guardiola C., Lughofer E., and Luján J. An approach to model-based fault detection in industrial measurement systems with application to engine test benches. Meas. Sci. Technol. 17 (2006) 1809-1818
-
(2006)
Meas. Sci. Technol.
, vol.17
, pp. 1809-1818
-
-
Angelov, P.1
Giglio, V.2
Guardiola, C.3
Lughofer, E.4
Luján, J.5
-
22
-
-
8844219693
-
-
E. Lughofer, E. Klement, J. Lujan, C. Guardiola, Model-based fault detection in multi-sensor measurement systems, in: Proceedings of IEEE IS 2004, Varna, Bulgaria, 2004, pp. 184-189.
-
-
-
-
23
-
-
1542266420
-
An efficient k-means clustering algorithm
-
IEEE Computer Society Press, Silver Spring, MD Available: 〈citeseer.nj.nec.com/alsabti98efficient.html〉 (Online)
-
Alsabti K., Ranka S., and Singh V. An efficient k-means clustering algorithm. IPPS: 11th International Parallel Processing Symposium (1998), IEEE Computer Society Press, Silver Spring, MD. http://citeseer.nj.nec.com/alsabti98efficient.html Available: 〈citeseer.nj.nec.com/alsabti98efficient.html〉 (Online)
-
(1998)
IPPS: 11th International Parallel Processing Symposium
-
-
Alsabti, K.1
Ranka, S.2
Singh, V.3
-
24
-
-
0034301495
-
Recursive PCA for adaptive process monitoring
-
Qin S., Li W., and Yue H. Recursive PCA for adaptive process monitoring. J. Process Control 10 (2000) 471-486
-
(2000)
J. Process Control
, vol.10
, pp. 471-486
-
-
Qin, S.1
Li, W.2
Yue, H.3
-
25
-
-
0026850464
-
Fitting an unknown number of lines and planes to image data through compatible cluster merging
-
Krishnapuram R., and Freg C. Fitting an unknown number of lines and planes to image data through compatible cluster merging. Pattern Recognition 25 4 (1992) 385-400
-
(1992)
Pattern Recognition
, vol.25
, Issue.4
, pp. 385-400
-
-
Krishnapuram, R.1
Freg, C.2
-
26
-
-
0037523339
-
-
F.-H. Rhee, B.-I. Choi, A convex cluster merging algorithm using support vector machines, in: Proceedings of the 12th IEEE International Conference on Fuzzy Systems, vol. 2, 2003, pp. 892-895.
-
-
-
-
27
-
-
33646933601
-
Online clustering of parallel data streams
-
Beringer J., and Hüllermeier E. Online clustering of parallel data streams. Data Knowl. Eng. 58 2 (2006) 180-204
-
(2006)
Data Knowl. Eng.
, vol.58
, Issue.2
, pp. 180-204
-
-
Beringer, J.1
Hüllermeier, E.2
-
28
-
-
35448967035
-
-
M. Song, H. Wang, Incremental estimation of gaussian mixture models for online data stream clustering, in: Proceedings of the International Conference on Bioinformatics and its Applications, Fort Lauderdale, FL, USA, 2004.
-
-
-
-
29
-
-
0035747063
-
-
M. Yang, K. Wu, A new validity index for fuzzy clustering, in: Proceedings of the IEEE International Conference on Fuzzy Systems, Melbourne, Australia, 2001, pp. 89-92.
-
-
-
-
31
-
-
0003802343
-
-
Chapman & Hall, Boca Raton
-
Breiman L., Friedman J., Stone C., and Olshen R. Classification and Regression Trees (1993), Chapman & Hall, Boca Raton
-
(1993)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.2
Stone, C.3
Olshen, R.4
-
33
-
-
0003922190
-
-
Wiley-Interscience, Chichester, UK
-
Duda R., Hart P., and Stork D. Pattern Classification. second ed. (2000), Wiley-Interscience, Chichester, UK
-
(2000)
Pattern Classification. second ed.
-
-
Duda, R.1
Hart, P.2
Stork, D.3
-
34
-
-
0000629975
-
Cross-validatory choice and assessment of statistical predictions
-
Stone M. Cross-validatory choice and assessment of statistical predictions. J. R. Stat. Soc. 36 (1974) 111-147
-
(1974)
J. R. Stat. Soc.
, vol.36
, pp. 111-147
-
-
Stone, M.1
-
36
-
-
33645381264
-
A comparison of variable selection methods with the main focus on orthogonalization
-
Lopéz-Díaz M., Gil M., Grzegorzewski P., Hryniewicz O., and Lawry J. (Eds), Springer, Berlin, Heidelberg, New York
-
Groißböck W., Lughofer E., and Klement E. A comparison of variable selection methods with the main focus on orthogonalization. In: Lopéz-Díaz M., Gil M., Grzegorzewski P., Hryniewicz O., and Lawry J. (Eds). Soft Methodology and Random Information Systems, Advances in Soft Computing (2004), Springer, Berlin, Heidelberg, New York 479-486
-
(2004)
Soft Methodology and Random Information Systems, Advances in Soft Computing
, pp. 479-486
-
-
Groißböck, W.1
Lughofer, E.2
Klement, E.3
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