Abstract
Spatial Clustering with Obstacles Constraints (SCOC) has been a new topic in Spatial Data Mining (SDM). Spatial Obstructed Distance (SOD) is the key to SCOC. The obstacles constraint is generally ignored in computing distance between two points, and it leads to the clustering result which is of no value, so obstructed distance has a great effect upon clustering result. In this paper, we propose a novel Spatial Obstructed Distance using Dynamic Piecewise Linear Chaotic Map and Dynamic Nonlinear Particle Swarm Optimization (PNPSO) based on Grid model to obtain obstructed distance, which is named PNPGSOD, it is not only simple and easy to actualize, but also convergent rapidly, the experimental results are provided to verify the effectiveness and practicability.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Li, D.R., Wang, S.L., Li, D.Y.: Spatial data mining theory applications. Science Publishing House (2006)
Tung, A.K.H., Han, J., Lakshmanan, L.V.S., Ng, R.T.: Constraint-based clustering in large database. In: Van den Bussche, J., Vianu, V. (eds.) ICDT 2001. LNCS, vol. 1973, pp. 405–419. Springer, Heidelberg (2000)
Lozano-perez, T.: Automatic planning of manipulator transfer movements. IEEE Trans. on Sys. Man an Cyb., 681–698 (1981)
Dijkstra, E.W.: A note on two problems in connection with graphs. Numerische Mathematik, 269–271 (1959)
Chabini, I., Lan, S.: Adaptations of the algorithm for the computation of fartest paths in deterministic discrete-time dynamic networks. IEEE Transactions on intellingent transportation systems, 60–74 (2002)
Liu, H.L., Su, R.J., Gao, Y.: Coordinate Particle Swarm Optimization with Dynamic Piecewise-mapped and Nonlinear Inertia Weights. In: Proceedings of the 2009 International Conference on Artificial Intelligence and Computational Intelligence (AICI 2009), Shanghai China, pp. 124–128 (2009)
Kennedy, J., Eberhart, R.C.: Particle Swarm Optimization. In: Proceedings of IEEE International Conference on Neural Networks, Perth, Australia, vol. IV, pp. 1942–1948 (1995)
Frans, V.D.B.: An Analysis of Particle Swarm Optimizers. Ph.D. thesis, University of Pretoria (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, X., Liu, Y., Wang, J., Du, H. (2010). A Novel Spatial Obstructed Distance by Dynamic Piecewise Linear Chaotic Map and Dynamic Nonlinear PSO. In: Tan, Y., Shi, Y., Tan, K.C. (eds) Advances in Swarm Intelligence. ICSI 2010. Lecture Notes in Computer Science, vol 6146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13498-2_61
Download citation
DOI: https://doi.org/10.1007/978-3-642-13498-2_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13497-5
Online ISBN: 978-3-642-13498-2
eBook Packages: Computer ScienceComputer Science (R0)