A Study of Optimum allocation model with influence

영향력을 고려한 적정입지선정 모델 연구

  • 김병철 (남서울대학교 지리정보공학과) ;
  • 오상영 (청주대학교 경상학부) ;
  • 류근호 (충북대학교 전자계산학과)
  • Published : 2006.10.31


In this paper, we propose DBSCAN-I that is an algorithm for clustering with influence. DBSCAN-I that extends traditional DBSCAN and DBSCAN-W converts from non-spatial feature to influence while doing spatial clustering. This is an algorithm that increases probability of allocation to cluster when influence is more higher than other. And also, we present the result that selects effectively optimum allocation with influence to apply the proposed algorithm.