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ICDE
2010
IEEE
195views Database» more  ICDE 2010»
13 years 10 months ago
Advances in constrained clustering
— Constrained clustering (semi-supervised learning) techniques have attracted more attention in recent years. However, the commonly used constraints are restricted to the instanc...
ZiJie Qi, Yinghui Yang
PKDD
2000
Springer
107views Data Mining» more  PKDD 2000»
14 years 1 months ago
Expert Constrained Clustering: A Symbolic Approach
Abstract. A new constrained model is discussed as a way of incorporating efficiently a priori expert knowledge into a clustering problem of a given individual set. The first innova...
Fabrice Rossi, Frédérick Vautrain
CVPR
2009
IEEE
15 years 5 months ago
Constrained Clustering via Spectral Regularization
We propose a novel framework for constrained spectral clustering with pairwise constraints which specify whether two objects belong to the same cluster or not. Unlike previous m...
Zhenguo Li (The Chinese University of Hong Kong), ...
DAC
2005
ACM
14 years 10 months ago
Logic block clustering of large designs for channel-width constrained FPGAs
In this paper we present a system level technique for mapping large, multiple-IP-block designs to channel-width constrained FPGAs. Most FPGA clustering tools [2, 3, 11] aim to red...
Marvin Tom, Guy G. Lemieux
PAKDD
2009
ACM
186views Data Mining» more  PAKDD 2009»
14 years 4 months ago
Pairwise Constrained Clustering for Sparse and High Dimensional Feature Spaces
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
Su Yan, Hai Wang, Dongwon Lee, C. Lee Giles