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将聚类分析融入企业竞争力影响因素挖掘与发现之中,依据本课题组构建的软件企业领域本体,提出基于语义的综合层次聚类分析方法。该方法融合本体与聚类技术创新基于领域本体的聚类分析算法Onto-kmeans,实现语义层面的企业竞争力影响因素分析与获取。实验结果表明,该方法能够显著提高聚类分析的准确率和效率,有效地挖掘与获取影响企业竞争力的全局因素,识别与验证影响企业竞争力的主要因素。
The cluster analysis is integrated into the excavation and discovery of the influence factors of enterprise competitiveness. Based on the ontology of software enterprise domain constructed by our research group, a comprehensive hierarchical cluster analysis method based on semantics is proposed. This method combines ontology and clustering technology to create Onto-kmeans based on domain ontology clustering analysis algorithm, and realizes the analysis and acquisition of the influencing factors of enterprise competitiveness at the semantic level. The experimental results show that this method can significantly improve the accuracy and efficiency of clustering analysis, effectively tap and obtain the global factors that affect the competitiveness of enterprises, and identify and verify the main factors that affect the competitiveness of enterprises.