These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
164 related articles for article (PubMed ID: 24807522)
1. SOMKE: kernel density estimation over data streams by sequences of self-organizing maps. Cao Y; He H; Man H IEEE Trans Neural Netw Learn Syst; 2012 Aug; 23(8):1254-68. PubMed ID: 24807522 [TBL] [Abstract][Full Text] [Related]
2. On the Parzen Kernel-Based Probability Density Function Learning Procedures Over Time-Varying Streaming Data With Applications to Pattern Classification. Duda P; Rutkowski L; Jaworski M; Rutkowska D IEEE Trans Cybern; 2020 Apr; 50(4):1683-1696. PubMed ID: 30452383 [TBL] [Abstract][Full Text] [Related]
3. On the equivalence between kernel self-organising maps and self-organising mixture density networks. Yin H Neural Netw; 2006; 19(6-7):780-4. PubMed ID: 16759835 [TBL] [Abstract][Full Text] [Related]
4. An Information-Theoretic-Cluster Visualization for Self-Organizing Maps. Brito da Silva LE; Wunsch DC IEEE Trans Neural Netw Learn Syst; 2018 Jun; 29(6):2595-2613. PubMed ID: 28534793 [TBL] [Abstract][Full Text] [Related]
5. Dimension selective self-organizing maps with time-varying structure for subspace and projected clustering. Bassani HF; Araujo AF IEEE Trans Neural Netw Learn Syst; 2015 Mar; 26(3):458-71. PubMed ID: 25720003 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. Self-organizing mixture networks for probability density estimation. Yin H; Allinson NM IEEE Trans Neural Netw; 2001; 12(2):405-11. PubMed ID: 18244394 [TBL] [Abstract][Full Text] [Related]
8. SOM of SOMs. Furukawa T Neural Netw; 2009 May; 22(4):463-78. PubMed ID: 19243913 [TBL] [Abstract][Full Text] [Related]
9. Exploiting data topology in visualization and clustering of self-organizing maps. Taşdemir K; Merényi E IEEE Trans Neural Netw; 2009 Apr; 20(4):549-62. PubMed ID: 19228556 [TBL] [Abstract][Full Text] [Related]
10. Improving cluster visualization in self-organizing maps: application in gene expression data analysis. Fernandez EA; Balzarini M Comput Biol Med; 2007 Dec; 37(12):1677-89. PubMed ID: 17544390 [TBL] [Abstract][Full Text] [Related]
11. An effective density-based clustering and dynamic maintenance framework for evolving medical data streams. Al-Shammari A; Zhou R; Naseriparsaa M; Liu C Int J Med Inform; 2019 Jun; 126():176-186. PubMed ID: 31029259 [TBL] [Abstract][Full Text] [Related]
12. Efficient Online Stream Clustering Based on Fast Peeling of Boundary Micro-Cluster. Sun J; Du M; Sun C; Dong Y IEEE Trans Neural Netw Learn Syst; 2024 Apr; PP():. PubMed ID: 38587953 [TBL] [Abstract][Full Text] [Related]
13. StreamExplorer: A Multi-Stage System for Visually Exploring Events in Social Streams. Wu Y; Chen Z; Sun G; Xie X; Cao N; Liu S; Cui W IEEE Trans Vis Comput Graph; 2018 Oct; 24(10):2758-2772. PubMed ID: 29053452 [TBL] [Abstract][Full Text] [Related]
14. Kernel Density Estimation, Kernel Methods, and Fast Learning in Large Data Sets. Wang S; Wang J; Chung FL IEEE Trans Cybern; 2014 Jan; 44(1):1-20. PubMed ID: 23797315 [TBL] [Abstract][Full Text] [Related]
15. Self-enhancement learning: target-creating learning and its application to self-organizing maps. Kamimura R Biol Cybern; 2011 May; 104(4-5):305-38. PubMed ID: 21594651 [TBL] [Abstract][Full Text] [Related]