Grid-based clustering algorithm for multi-density

2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

Volumn , Issue , 2005, Pages 1509-1512

  Qiu, Bao Zhi ^a,b   Zhang, Xi Zhi ^a   Shen, Jun Y I ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b ZHENGZHOU UNIVERSITY   (China)

Author keywords

Border points extraction; Density threshold descending; Multi stage clustering

Indexed keywords

ACOUSTIC NOISE; DATA ACQUISITION;

BORDER POINTS EXTRACTION; DENSITY THRESHOLD DESCENDING; MULTI-STAGE CLUSTERING;

ALGORITHMS;

EID: 28444433761     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. G. Karypis, E.-H. Han, V. Kumar. Chameleon: A Hierarchical Clustering Algorithm Using Dynamic Modeling[J]. IEEE Computer,1999,32(8):68-75.
2. Levent Ertoz, Michael Steinbach, Vipin Kumar. Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data[C]. SIAM International Conference on Data Mining (SDM '03)
3. Zhao Yan-chang, Song Mei, Xie Fan, Song Jun-de. Clustering Datasets Containing Clusters of Various Densities[J].Joumal of Beijing University of Posts and Telecommunications 2003 26(2):42-47.
4. Adimir Estivill-Castro, Ickjai Lee. Automatic Clustering Via Boundary Extraction for Mining Massive Point-data Sets[C].Proceedings of the 5th International Conference on GeoComputation University of Greenwich, United Kingdom, 23-25 August 2000.
5. Chih-Ming Hsu, Ming-Syan Chen. Sbuspace clustering of high dimensional spatial data with noises. PAKDD 2004:31-40.