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ICDE
2010
IEEE
222views Database» more  ICDE 2010»
15 years 5 months ago
Finding Clusters in subspaces of very large, multi-dimensional datasets
Abstract— We propose the Multi-resolution Correlation Cluster detection (MrCC), a novel, scalable method to detect correlation clusters able to analyze dimensional data in the ra...
Robson Leonardo Ferreira Cordeiro, Agma J. M. Trai...
KDD
2009
ACM
206views Data Mining» more  KDD 2009»
16 years 7 months ago
Ranking-based clustering of heterogeneous information networks with star network schema
A heterogeneous information network is an information network composed of multiple types of objects. Clustering on such a network may lead to better understanding of both hidden s...
Yizhou Sun, Yintao Yu, Jiawei Han
PKDD
2004
Springer
277views Data Mining» more  PKDD 2004»
16 years 3 days ago
Scalable Density-Based Distributed Clustering
Clustering has become an increasingly important task in analysing huge amounts of data. Traditional applications require that all data has to be located at the site where it is scr...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
AI
2005
Springer
16 years 10 days ago
A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets
Spatial clustering is an active research area in spatial data mining with various methods reported. In this paper, we compare two density-based methods, DBSCAN and DBRS. First, we ...
Xin Wang, Howard J. Hamilton
PDCAT
2004
Springer
16 years 3 days ago
Locabus: A Kernel to Kernel Communication Channel for Cluster Computing
Abstract. This paper proposes a kernel to kernel communication system for use in cluster computers. It is implemented directly on the Ethernet data link layer. This allows use of E...
Paul Werstein, Mark Pethick, Zhiyi Huang