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MLMTA
2007
15 years 6 months ago
A Novel Hybrid Neural Network for Data Clustering
- Clustering plays an indispensable role for data analysis. Many clustering algorithms have been developed. However, most of them suffer either poor performance of unsupervised lea...
Donghai Guan, Andrey Gavrilov, Weiwei Yuan, Young-...
167
Voted
ICDM
2010
IEEE
198views Data Mining» more  ICDM 2010»
15 years 2 months ago
Hierarchical Ensemble Clustering
Ensemble clustering has emerged as an important elaboration of the classical clustering problems. Ensemble clustering refers to the situation in which a number of different (input)...
Li Zheng, Tao Li, Chris H. Q. Ding
VLDB
2005
ACM
96views Database» more  VLDB 2005»
15 years 10 months ago
Robust Real-time Query Processing with QStream
Processing data streams with Quality-ofService (QoS) guarantees is an emerging area in existing streaming applications. Although it is possible to negotiate the result quality and...
Sven Schmidt, Thomas Legler, Sebastian Schär,...
RSCTC
2004
Springer
148views Fuzzy Logic» more  RSCTC 2004»
15 years 10 months ago
Towards Missing Data Imputation: A Study of Fuzzy K-means Clustering Method
In this paper, we present a missing data imputation method based on one of the most popular techniques in Knowledge Discovery in Databases (KDD), i.e. clustering technique. We comb...
Dan Li, Jitender S. Deogun, William Spaulding, Bil...
141
Voted
DATAMINE
2002
114views more  DATAMINE 2002»
15 years 4 months ago
Techniques of Cluster Algorithms in Data Mining
An overview of cluster analysis techniques from a data mining point of view is given. This is done by a strict separation of the questions of various similarity and distance measur...
Johannes Grabmeier, Andreas Rudolph