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» Techniques of Cluster Algorithms in Data Mining
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PKDD
2001
Springer
114views Data Mining» more  PKDD 2001»
15 years 1 months ago
A Study on the Hierarchical Data Clustering Algorithm Based on Gravity Theory
This paper discusses the clustering quality and complexities of the hierarchical data clustering algorithm based on gravity theory. The gravitybased clustering algorithm simulates ...
Yen-Jen Oyang, Chien-Yu Chen, Tsui-Wei Yang
KDD
2006
ACM
173views Data Mining» more  KDD 2006»
15 years 9 months ago
Robust information-theoretic clustering
How do we find a natural clustering of a real world point set, which contains an unknown number of clusters with different shapes, and which may be contaminated by noise? Most clu...
Christian Böhm, Christos Faloutsos, Claudia P...
ICDM
2010
IEEE
125views Data Mining» more  ICDM 2010»
14 years 7 months ago
Evolving Ensemble-Clustering to a Feedback-Driven Process
Abstract--Data clustering is a highly used knowledge extraction technique and is applied in more and more application domains. Over the last years, a lot of algorithms have been pr...
Martin Hahmann, Dirk Habich, Wolfgang Lehner
87
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SIGMOD
1998
ACM
233views Database» more  SIGMOD 1998»
15 years 1 months ago
Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications
Data mining applications place special requirements on clustering algorithms including: the ability to nd clusters embedded in subspaces of high dimensional data, scalability, end...
Rakesh Agrawal, Johannes Gehrke, Dimitrios Gunopul...
SAC
2005
ACM
15 years 3 months ago
The role of visualization in effective data cleaning
Using visualization techniques to assist conventional data mining tasks has attracted considerable interest in recent years. This paper addresses a challenging issue in the use of...
Yu Qian, Kang Zhang