NDLI: Ant colony ATTA clustering algorithm of rock mass structural plane in groups

Content Provider	Springer Nature Link
Author	Li, Xi bing Wang, Ze wei Peng, Kang Liu, Zhi xiang
Copyright Year	2014
Abstract	Based on structural surface normal vector spherical distance and the pole stereographic projection Euclidean distance, two distance functions were established. The cluster analysis of structure surface was conducted by the use of ATTA clustering methods based on ant colony piles, and Silhouette index was introduced to evaluate the clustering effect. The clustering analysis of the measured data of Sanshandao Gold Mine shows that ant colony ATTA-based clustering method does better than K-mean clustering analysis. Meanwhile, clustering results of ATTA method based on pole Euclidean distance and ATTA method based on normal vector spherical distance have a great consistence. The clustering results are most close to the pole isopycnic graph. It can efficiently realize grouping of structural plane and determination of the dominant structural surface direction. It is made up for the defects of subjectivity and inaccuracy in icon measurement approach and has great engineering value.
Starting Page	709
Ending Page	714
Page Count	6
File Format	PDF
ISSN	20952899
Journal	Journal of Central South University of Technology
Volume Number	21
Issue Number	2
e-ISSN	22275223
Language	English
Publisher	Central South University
Publisher Date	2014-02-21
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	rock mass discontinuity cluster analysis ant colony ATTA algorithm distance function Silhouette index Engineering Metallic Materials
Content Type	Text
Resource Type	Article
Subject	Metals and Alloys Engineering

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