A Novel Artificial Immune Algorithm for Spatial Clustering with Obstacle Constraint and Its Applications

An important component of a spatial clustering algorithm is the distance measure between sample points in object space. In this paper, the traditional Euclidean distance measure is replaced with innovative obstacle distance measure for spatial clustering under obstacle constraints. Firstly, we prese...

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Veröffentlicht in:	Computational Intelligence and Neuroscience Jg. 2014; H. 2014; S. 37 - 47
Hauptverfasser:	Zhang, Ji, Ding, Xintao, Luo, Yonglong, Sun, Liping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cairo, Egypt Hindawi Limiteds 01.01.2014 Hindawi Publishing Corporation John Wiley & Sons, Inc
Schlagworte:	Algorithms Approximation Artificial Intelligence Cluster Analysis Clustering Comparative analysis Computational Biology Economic models Experiments Geospatial data Hogs Humans Immune system Immune System - physiology Obstacles Operations research Optimization Similarity
ISSN:	1687-5265, 1687-5273, 1687-5273
Online-Zugang:	Volltext
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