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» Cascade Evaluation of Clustering Algorithms
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SSDBM
2008
IEEE
114views Database» more  SSDBM 2008»
15 years 11 months ago
A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms
Abstract. Most correlation clustering algorithms rely on principal component analysis (PCA) as a correlation analysis tool. The correlation of each cluster is learned by applying P...
Hans-Peter Kriegel, Peer Kröger, Erich Schube...
ICASSP
2011
IEEE
14 years 9 months ago
A mutual information based approach for evaluating the quality of clustering
In this paper, a new method for evaluating the quality of clustering of genes is proposed based on mutual information criterion. Instead of using the conventional histogram-based ...
Shaikh Anowarul Fattah, Chia-Chun Lin, Sun-Yuan Ku...
CLUSTER
2002
IEEE
15 years 10 months ago
Cluster Based Hybrid Hash Join: Analysis and Evaluation
The join is the most important, but also the most time consuming operation in relational database systems. We implemented the parallel Hybrid Hash Join algorithm on a PC-cluster a...
Erich Schikuta, Peter Kirkovits
CIKM
2004
Springer
15 years 10 months ago
Document clustering based on cluster validation
This paper presents a cluster validation based document clustering algorithm, which is capable of identifying both important feature words and true model order (cluster number). I...
Zheng-Yu Niu, Dong-Hong Ji, Chew Lim Tan
ESORICS
2005
Springer
15 years 11 months ago
Privacy Preserving Clustering
The freedom and transparency of information flow on the Internet has heightened concerns of privacy. Given a set of data items, clustering algorithms group similar items together...
Somesh Jha, Louis Kruger, Patrick McDaniel