A survey on density-based clustering algorithms

Lecture Notes in Electrical Engineering

Volumn 280 LNEE, Issue , 2014, Pages 775-780

  Loh, Woong Kee ^a   Park, Young Ho ^b  

^a Sungkyul University   (South Korea)

^b Sookmyung Women's University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION TECHNOLOGY; PROGRAM PROCESSORS; SURVEYS;

DENSITY-BASED CLUSTERING; DENSITY-BASED CLUSTERING ALGORITHMS; MULTI-CORE CPUS;

CLUSTERING ALGORITHMS;

EID: 84958534116     PISSN: 18761100     EISSN: 18761119     Source Type: Book Series    
DOI: 10.1007/978-3-642-41671-2_98     Document Type: Conference Paper

References (8)

1. Ankerst, M., Breunig, M.M., Kriegel, H.-P., Sander, J.: OPTICS: Ordering Points To Identify the Clustering Structure. In: Proc. of Int'l Conf. on Management of Data, ACM SIGMOD, Philadelphia, Pennsylvania, USA, pp. 49-60 (June 1999)
2. Brecheisen, S., Kriegel, H.-P., Pfeifle, M.: Parallel Density-Based Clustering of Complex Objects. In: Ng, W.-K., Kitsuregawa, M., Li, J., Chang, K. (Eds.) PAKDD 2006. LNCS (LNAI), Vol. 3918, pp. 179-188. Springer, Heidelberg (2006)
3. Bohm, C., Noll, R., Plant, C., Wackersreuther, B.: Density-based Clustering using Graphics Processors. In: Proc. Conf. on Information and knowledge management (CIKM), Hong Kong, China, pp. 661-670 (November 2009)
4. Ester, M., Kriegel, H.-P., Sander, J., Xu, X.: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In: Proc. Int'l Conf. on Knowledge Discovery and Data Mining (KDD), Portland, Oregon, USA, pp. 226-231 (1996)
5. Hinneburg, A., Gabriel, H.-H.: DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation. In: Berthold, M., Shawe-Taylor, J., Lavrač, N. (Eds.) IDA 2007. LNCS, Vol. 4723, pp. 70-80. Springer, Heidelberg (2007)
6. Hinneburg, A., Keim, D.A.: An Efficient Approach to Clustering in Large Multimedia Databases with Noise. In: Proc. Int'l Conf. on Knowledge Discovery and Data Mining (KDD), New York, USA, pp. 58-65 (August 1998)
7. Loh, W.-K., Moon, Y.-S., Park, Y.-H.: Fast Density-based Clustering Using Graphics Processing Units. IEICE Trans. Information and Systems (2014) (accepted to appear)
8. Xu, X., Jäger, J., Kriegel, H.-P.: A Fast Parallel Clustering Algorithm for Large Spatial Databases. Data Mining and Knowledge Discovery (DMKD) 3(3), 263-290 (1999)