Clustering the Open Ended Future Needs

Çınar Ünal D., Kayakutlu G.

Conference of the Portland-International-Center-for-Management-of-Engineering-and-Technology (PICMET 2009), Oregon, United States Of America, 2 - 06 August 2009, pp.752-757 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Oregon
  • Country: United States Of America
  • Page Numbers: pp.752-757
  • Istanbul Technical University Affiliated: Yes


This paper aims to propose a solution for clustering the trends in vague conditions by comparing the results of hard c-means and fuzzy c-means algorithms. Application is done on an SME survey indicating the future needs for the improvements in regional innovation. Application results indicate that fuzzy c-means clustering algorithm gives significantly achievable results that guide innovation experts in their regional development perspective.