128 related articles for article (PubMed ID: 18255555)
1. A self-organizing network for hyperellipsoidal clustering (HEC).
Mao J; Jain AK
IEEE Trans Neural Netw; 1996; 7(1):16-29. PubMed ID: 18255555
[TBL] [Abstract][Full Text] [Related]
2. Comments on "A self-organizing network for hyperellipsoidal clustering (HEC)" [and reply].
Song W; Xia S; Mao J; Jain A; Prokhorov DV; Wansch DC
IEEE Trans Neural Netw; 1997; 8(6):1561-3. PubMed ID: 18255757
[TBL] [Abstract][Full Text] [Related]
3. Interval data clustering using self-organizing maps based on adaptive Mahalanobis distances.
Hajjar C; Hamdan H
Neural Netw; 2013 Oct; 46():124-32. PubMed ID: 23727709
[TBL] [Abstract][Full Text] [Related]
4. Hyperellipsoidal statistical classifications in a reproducing kernel Hilbert space.
Liang X; Ni Z
IEEE Trans Neural Netw; 2011 Jun; 22(6):968-75. PubMed ID: 21550881
[TBL] [Abstract][Full Text] [Related]
5. Detecting clusters of different geometrical shapes in microarray gene expression data.
Kim DW; Lee KH; Lee D
Bioinformatics; 2005 May; 21(9):1927-34. PubMed ID: 15647300
[TBL] [Abstract][Full Text] [Related]
6. Min-max hyperellipsoidal clustering for anomaly detection in network security.
Sarasamma ST; Zhu QA
IEEE Trans Syst Man Cybern B Cybern; 2006 Aug; 36(4):887-901. PubMed ID: 16903372
[TBL] [Abstract][Full Text] [Related]
7. Clustering Through Hybrid Network Architecture With Support Vectors.
Ergul E; Arica N; Ahuja N; Erturk S
IEEE Trans Neural Netw Learn Syst; 2017 Jun; 28(6):1373-1385. PubMed ID: 28113825
[TBL] [Abstract][Full Text] [Related]
8. A Self-Organizing Spatial Clustering Approach to Support Large-Scale Network RTK Systems.
Shen L; Guo J; Wang L
Sensors (Basel); 2018 Jun; 18(6):. PubMed ID: 29882817
[TBL] [Abstract][Full Text] [Related]
9. A density-based competitive data stream clustering network with self-adaptive distance metric.
Xu B; Shen F; Zhao J
Neural Netw; 2019 Feb; 110():141-158. PubMed ID: 30557793
[TBL] [Abstract][Full Text] [Related]
10. Machine-learned cluster identification in high-dimensional data.
Ultsch A; Lötsch J
J Biomed Inform; 2017 Feb; 66():95-104. PubMed ID: 28040499
[TBL] [Abstract][Full Text] [Related]
11. Clustering: a neural network approach.
Du KL
Neural Netw; 2010 Jan; 23(1):89-107. PubMed ID: 19758784
[TBL] [Abstract][Full Text] [Related]
12. Modified fuzzy gap statistic for estimating preferable number of clusters in fuzzy k-means clustering.
Arima C; Hakamada K; Okamoto M; Hanai T
J Biosci Bioeng; 2008 Mar; 105(3):273-81. PubMed ID: 18397779
[TBL] [Abstract][Full Text] [Related]
13. Partially supervised speaker clustering.
Tang H; Chu SM; Hasegawa-Johnson M; Huang TS
IEEE Trans Pattern Anal Mach Intell; 2012 May; 34(5):959-71. PubMed ID: 21844626
[TBL] [Abstract][Full Text] [Related]
14. K-means clustering versus validation measures: a data-distribution perspective.
Xiong H; Wu J; Chen J
IEEE Trans Syst Man Cybern B Cybern; 2009 Apr; 39(2):318-31. PubMed ID: 19095536
[TBL] [Abstract][Full Text] [Related]
15. Self-splitting competitive learning: a new on-line clustering paradigm.
Zhang YJ; Liu ZQ
IEEE Trans Neural Netw; 2002; 13(2):369-80. PubMed ID: 18244438
[TBL] [Abstract][Full Text] [Related]
16. A new neural network for cluster-detection-and-labeling.
Eltoft T; deFigueiredo RP
IEEE Trans Neural Netw; 1998; 9(5):1021-35. PubMed ID: 18255785
[TBL] [Abstract][Full Text] [Related]
17. Frequency-sensitive competitive learning for scalable balanced clustering on high-dimensional hyperspheres.
Banerjee A; Ghosh J
IEEE Trans Neural Netw; 2004 May; 15(3):702-19. PubMed ID: 15384557
[TBL] [Abstract][Full Text] [Related]
18. Knowledge-assisted recognition of cluster boundaries in gene expression data.
Okada Y; Sahara T; Mitsubayashi H; Ohgiya S; Nagashima T
Artif Intell Med; 2005; 35(1-2):171-83. PubMed ID: 16054350
[TBL] [Abstract][Full Text] [Related]
19. Vicinal support vector classifier using supervised kernel-based clustering.
Yang X; Cao A; Song Q; Schaefer G; Su Y
Artif Intell Med; 2014 Mar; 60(3):189-96. PubMed ID: 24637294
[TBL] [Abstract][Full Text] [Related]
20. A comparative study of clustering methods for molecular data.
Wang L; Jiang M; Lu Y; Sun M; Noe F
Int J Neural Syst; 2007 Dec; 17(6):447-58. PubMed ID: 18186594
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]