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IJCNN
2008
IEEE
15 years 7 months ago
On the sample mean of graphs
— We present an analytic and geometric view of the sample mean of graphs. The theoretical framework yields efficient subgradient methods for approximating a structural mean and ...
Brijnesh J. Jain, Klaus Obermayer
90
Voted
ICPR
2008
IEEE
16 years 1 months ago
Active query selection for semi-supervised clustering
Semi-supervised clustering allows a user to specify available prior knowledge about the data to improve the clustering performance. A common way to express this information is in ...
Anil K. Jain, Pavan Kumar Mallapragada, Rong Jin
FGCN
2008
IEEE
240views Communications» more  FGCN 2008»
15 years 7 months ago
Data Compression Algorithm Based on Hierarchical Cluster Model for Sensor Networks
A new distributed algorithm of data ccompression based on hierarchical cluster model for sensor networks is proposed, the basic ideas of which are as follows, firstly the whole se...
Tongsen Wang, Lei Wang, Zhijun Xie, Ronghua Yang
SSDBM
2008
IEEE
114views Database» more  SSDBM 2008»
15 years 7 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...
COLT
2008
Springer
15 years 2 months ago
Model Selection and Stability in k-means Clustering
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
Ohad Shamir, Naftali Tishby