Application of Modified OPTICS Algorithm in E-Commerce Sites Classification and Evaluation

Application of Modified OPTICS Algorithm in E-Commerce Sites Classification and Evaluation

Zhuoxi Yu, YuJia Jin, Milan Parmar, Limin Wang
Copyright: © 2016 |Pages: 12
DOI: 10.4018/JECO.2016010106
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Abstract

In the era of the development in network economy, e-commerce sites' operational efficiency is in relation to the development of enterprises. Thus, how to evaluate e-commerce sites have become a hot topic. Due to the evaluation index of e-commerce sites have the characteristics of high dimension and data inhomogeneity, the new method combines PCA with the improved OPTICS algorithm to classify and evaluate the e-commerce demonstration enterprise websites. Firstly, using PCA to reduce the dimension of high-dimensional data. Secondly, for the limitation of OPTICS algorithm in dealing with sparse points, then using the improved OPTICS algorithm in clustering low-dimensional data to evaluate the effect of e-commerce sites and make suggestions.
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Intoduction Of Optics Algorithm And Principal Component Analysis

First, there is a simple introduction about the OPTICS algorithm. Due to the sites data having a characteristic of uneven density, OPTICS algorithm has the limitation in processing sparse points; second, for the shortcomings of the OPTICS algorithm, introducing the improved OPTICS algorithm.

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