M. Ester, H. P. Kriegel, J. Sander, and X. Xu, “A den-sity-based algorithm for discovering clusters in large spa-tial databases with noise,” in Proceedings 2nd Interna-tional Conference on Knowledge Discovery and Data Mining, Portland, OR, pp. 226–231, 1996.

has been cited by the following article:

• TITLE: A Projection Clustering Technique Based on Projection

  AUTHORS: Xiyu LIU, Xinjiang XIE, Wenping WANG

  KEYWORDS: Cluster Analysis, Projection Clustering, Grid Clustering

  JOURNAL NAME: Journal of Service Science and Management, Vol.2 No.4, December 15, 2009

  ABSTRACT: Projection clustering is an important cluster problem. Although there are extensive studies with proposed algorithms and applications, one of the basic computing architectures is that they are all at the level of data objects. The purpose of this paper is to propose a new clustering technique based on grid architecture. Our new technique integrates minimum spanning tree and grid clustering together. By this integration of projection clustering with grid technique, the complexity of computing is lowered to O(NLogN).