Hybrid Spectral Clustering Algorithm and its Application in Cost Index Estimation

Bing Chen; Xue Qin Hu; Bei Zhan Wang; Yin Huan Zheng

doi:10.4028/www.scientific.net/AMR.461.695

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 461Hybrid Spectral Clustering Algorithm and its...

Hybrid Spectral Clustering Algorithm and its Application in Cost Index Estimation

Abstract:

This paper proposed a new hybrid spectral clustering algorithm in which Mean Impact Value (MIV) was used in the cost dimension reduction. The processing of system implementation is as follows: first, we used BP neural network to determine the principal items materials, and then applied the spectral clustering algorithm to calculate the principal items price according to principal items materials; finally, principal items ratio estimation method has been used to do cost estimation. This paper took the Xiamen project cost station as the actual case and experimental results shown that this algorithm could meet the cost requirements of project cost station both in time efficiency and accuracy through parameters self-adjusting.

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Periodical:

Advanced Materials Research (Volume 461)

Pages:

695-701

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.461.695

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Online since:

February 2012

Authors:

Bing Chen, Xue Qin Hu, Bei Zhan Wang, Yin Huan Zheng

Keywords:

Neural Network (NN), Principal Items Ratio Estimation Method, Project Cost Estimation, Spectral Clustering

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