Application of SOMO based clustering in building renovation

International Journal of Fuzzy Systems

Volumn 10, Issue 3, 2008, Pages 195-201

  Chen, Jieh Haur ^a   Su, Mu Chun ^a   Zhao, Yu Xiang ^b   Hsieh, Yi Jeng ^a   Chen, Wei Hsiang ^a  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^b National Central University ^*

Author keywords

Building renovation; Clustering; Construction management; SOM

Indexed keywords

BUILDINGS; CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; CONFORMAL MAPPING; PROJECT MANAGEMENT;

BASED CLUSTERING; BUILDING RENOVATION; CLUSTERING METHODS; CLUSTERINGS; CONSTRUCTION MANAGEMENT; IN-BUILDINGS; MAP OPTIMIZATIONS; OPTIMISATIONS; RELATED FACTORS; SELF-ORGANIZING FEATURE MAP;

SELF ORGANIZING MAPS;

EID: 52649084265     PISSN: 15622479     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (29)

1. th Berkeley Symp. vol. 1, pp. 281-297, Berkeley, CA, 1967.
2. M. Eisen, P. Spellman, P. Brown, and D. Botstein, "Cluster analysis and display of genome-wide expression patterns," in Proc. Nat. Acad. Sci. vol. 95, pp. 14863-14868, USA, 1998.
3. M. Su and H. Chou, "A modified version of the K-means algorithm with a distance based on cluster symmetry," IEEE Trans.on Pattern Anal. Mach. Intell., vol. 23, no. 6, pp. 674-680, 2001.
4. ∞ norms," IEEE Trans. on Syst. Man, Cybern., vol. 21, no. 3, pp.545-554, 1991.
5. G. Carpenter, S. Grossberg, and D. Rosen, "Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system," Neural Netw., vol. 4, pp. 759-771, 1991.
6. p norm distance," IEEE Trans. Fuzzy Syst., vol. 8, no. 5, pp. 576-582, 2000.
7. J. Mao and A. Jain, "A self-organizing network for hyperellipsoidal clustering (HEC)," IEEE Trans. on Neural Networks, vol. 7, no. 1, pp. 16-29, 1996
8. R. Xu and D. Wunsch II, "Survey of clustering algorithms," IEEE Trans. on Neural Networks, vol. 16, no. 3, pp. 645-678, 2005.
9. J. -H. Chen, "Developing KNN based Knowledge Sharing Model for Severe Change Order Disputes in Construction," Automation in Construction, vol. 17, no. 6, pp. 773-779, 2008.
10. J. -H. Chen and S. C. Hsu, "Hybrid ANN-CBR Model for Disputed Change Orders in Construction Projects," Automation in Construction, vol. 17, no. 1, pp. 56-64, 2007.
11. C. D. Stylio, V. C. Georqopoulos, G. A. Malandraki, and S. Chouliara, "Fuzzy cognitive map architectures for medical decision support systems," Applied Soft Computing Journal, vol. 8, no. 3, pp. 1243-1251, 2008.
12. K. Boston and P. Bettinqer, "Combining tabu search and genetic algorithm heuristic techniques to solve spatial harvest scheduling problems," Forest Science, vol. 48, no. 1, pp. 35-46, 2002.
13. D. Gomez, J. Montero, and J. Yanez, "A coloringfuzzy graph approach for image classification," Information Sciences, vol. 176, no. 24, pp. 3645-3657, 2006.
14. K. A. J. Doherty, R. G. Adams, N. Davey, and W. Pensuwon, "Hierarchical topological clustering learns stock market sectors," in Proc. ICSC Congress on Computational Intelligence Methods and Applications, pp. 1662299, Istanbul, Turkey, 2005.
15. H. Xu, D. Xu, and E. Lin, "An applicable hierarchical clustering algorithm for content-based image retrieval," In Proc. MIRAGE: Computer Vision/Computer Graphics Collaboration Techniques, pp. 82-92, Rocquencourt, France, 2007.
16. A. Schenker, M. Last, and A. Kandel, "A term-based algorithm for hierarchical clustering of web documents," In Proc. IFSA World Congress and 20th NAFIPS International Conference, vol. 5, pp. 3076-3081, Vancouver, BC, Canada, 2001.
17. S. -J. Oh and J. -Y. Kim, "A hierarchical clustering algorithm for categorical sequence data," Information Processing Letters, vol. 91, no. 3, pp. 135-140, 2004.
18. A. J. Vakharia and U. Wemmerlov, "Comparative investigation of hierarchical clustering techniques and dissimilarity measures applied to the cell formation problem," Journal of Operations Management, vol. 13, no. 2, pp.117-138, 1995.
19. T. Kohonen, Self-Organization Maps, New York: Springer-Verlag, 1995.
20. T. Kohonen, E. Oja, O. Simula, A. Visa, and J. Kangas," Engineering application of the self-organizing map," in Proc. IEEE, vol. 84, no. 10, pp. 1358-1384, New York, NY, 1996.
21. M. C. Su, Y. X. Zhao, and J. Lee, "SOM-based optimization," in IEEE Int.l Joint Conf on Neural Networks IJCNN, Budapest, Hungary, pp. 781-786, 2004.
22. M. C. Su and C. H. Chou, "A modified version of the k-means algorithm with a distance based on cluster symmetry," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 23, no. 6, pp. 674-680, 2001.
23. M. C. Su, C. H. Chou, and C. C. Hsieh, "Fuzzy C-means algorithm with a Point Symmetry Distance," Int. J. Fuzzy Systems, vol. 7, no. 4, pp. 175-181, 2005.
24. M. C. Su, C. H. Chou, and C. H. Chou, "A SOMO-Based Clustering Algorithm and Its Application in Object Detection," in Pattern Recognition Theory and Application, Ed. E. A. Zoeller, Nova Publishers, New York: Hauppauge, 2008.
25. M. Naaranoja and L. Uden, "Major problems in renovation projects in Finland," Building and Environment, vol. 42, no. 2, pp. 852-859, 2007.
26. S. Liberti and A. Barrientos, "A Model For Educational Facilities Maintenance in Countries with Scarce Resources," To Build and Take Care of What We Have Built with Limited Resources CIB 83, pp.205-216, Mexico, 1983.
27. M. A. Shear, Handbook of Building Maintenance Management, Reston Publishing, Virginia: Reston, 1983.
28. A. Spedding and R. Holmes, "Maintenance Management in School Building," Building Maintenance Economics and Management, Routledge, Kentucky: Florence, pp.89-98, 1987.
29. C. H. Oglesby, H. W. G. Parker, and A. Howell, Productivity improvement in construction, McGraw-Hill, New York: New York, 1988.