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, Amerika Birleşik Devletleri, 2 - 06 Ağustos 2009, ss.752-757 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Oregon
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.752-757
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

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.