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Cluster Computing

, Volume 22, Supplement 4, pp 9081–9088 | Cite as

Innovation and entrepreneurship guidance system based on clustering algorithm

  • Xuefei HanEmail author
  • Liming Zhao
Article
  • 118 Downloads

Abstract

To explore the innovation and entrepreneurship guidance system, first of all, hierarchical analysis algorithm in clustering analysis was analysed and applied in the construction of professional innovation and entrepreneurship classification model. However, the mining results obtained with limitation of the algorithm had great optimization space. Then, new fusion algorithm was proposed by combining the algorithm with the hierarchical analysis algorithm for making up for each other. After analysis and research, the fusion algorithm was applied to the construction of professional innovation and entrepreneurship classification model, and a better clustering result was obtained, which met the requirements of building the model. Finally, the knowledge analysis was carried out on the clustering results extracted by the fusion algorithm. The results showed that the knowledge expression which was easy to accept and understand was obtained. To sum up, it briefly describes the new ideas of innovation and entrepreneurship to promote innovation and entrepreneurship, which provides a new method for data mining technology and its important branch of cluster analysis.

Keywords

Data mining Cluster analysis Analytic hierarchy process Innovation and entrepreneurship 

Notes

Acknowledgements

This work is supported by National Natural Science Foundation Project “Research on the cooperation management and policy of technological business incubator and venture investment” (70,972,117/G0215). Research on cooperation mechanism and subsidy of technological enterprise incubator and venture investment, special research fund for doctoral research in Colleges and universities, No. 20100032110037.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of Management and EconomicsTianjin UniversityTianjinChina

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