DocumentCode
2017848
Title
New method for measuring the topology preservation of self-organizing feature maps
Author
Murashima, Sadayuki ; Kashima, Masayuki ; Fuchida, Takayasu
Author_Institution
Dept. of Inf. & Comput. Sci., Kagoshima Univ., Japan
Volume
1
fYear
1999
fDate
1999
Firstpage
273
Abstract
The topology preservation of self-organizing feature maps is an important property which is used in many applications. Various qualitative and quantitative approaches are known for measuring the degree of topology preservation. However, well-received measures for determining the topology preservation have not been presented yet. In this paper, we present a new method for measuring the degree of topology preservation based on the masked Delaunay triangulation. The topology preservation is completed when the masked Delaunay triangulation coincides with the output network shape. We demonstrate the usefulness of this measure for various examples of data manifolds. This method is also applied to measure the degree of topology preservation of the topology-representing network of T. Martinetz et al. (1994). In various simulations, this measure brought a reasonable degree of topology preservation
Keywords
mesh generation; self-organising feature maps; topology; data manifolds; masked Delaunay triangulation; output network shape; self-organizing feature maps; simulations; topology preservation measure; topology-representing network; Computer science; Extraterrestrial measurements; Feature extraction; Image processing; Lattices; Network topology; Neural networks; Neurons; Organizing; Proposals;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-5871-6
Type
conf
DOI
10.1109/ICONIP.1999.843999
Filename
843999
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