Sciweavers

ISI
2008
Springer
13 years 4 months ago
A framework for privacy-preserving cluster analysis
Abstract--Releasing person-specific data could potentially reveal sensitive information of individuals. k-anonymization is a promising privacy protection mechanism in data publishi...
Benjamin C. M. Fung, Ke Wang, Lingyu Wang, Mourad ...
TSMC
2008
187views more  TSMC 2008»
13 years 4 months ago
A Position-Based Clustering Technique for Ad Hoc Intervehicle Communication
Abstract--Intervehicle communication is a key technique of intelligent transport systems. Recently, ad hoc networking in the vehicular environment was investigated intensively. Thi...
Zhigang Wang, Lichuan Liu, MengChu Zhou, N. Ansari
JGAA
2007
124views more  JGAA 2007»
13 years 4 months ago
Energy Models for Graph Clustering
The cluster structure of many real-world graphs is of great interest, as the clusters may correspond e.g. to communities in social networks or to cohesive modules in software syst...
Andreas Noack
CSDA
2007
264views more  CSDA 2007»
13 years 4 months ago
Model-based methods to identify multiple cluster structures in a data set
Model-based clustering exploits finite mixture models for detecting group in a data set. It provides a sound statistical framework which can address some important issues, such as...
Giuliano Galimberti, Gabriele Soffritti
NIPS
2008
13 years 5 months ago
Online Prediction on Large Diameter Graphs
We continue our study of online prediction of the labelling of a graph. We show a fundamental limitation of Laplacian-based algorithms: if the graph has a large diameter then the ...
Mark Herbster, Guy Lever, Massimiliano Pontil
ECCV
2010
Springer
13 years 6 months ago
Clustering Complex Data with Group-Dependent Feature Selection
Abstract. We describe a clustering approach with the emphasis on detecting coherent structures in a complex dataset, and illustrate its effectiveness with computer vision applicat...
IJCNN
2000
IEEE
13 years 8 months ago
A SOM Based Cluster Visualization and Its Application for False Coloring
The self-organizing map SOM is widely used as a data visualization method in various engineering applications. It performs a non-linear mapping from a high-dimensional data spac...
Johan Himberg
EDBT
2008
ACM
167views Database» more  EDBT 2008»
14 years 4 months ago
HISSCLU: a hierarchical density-based method for semi-supervised clustering
In situations where class labels are known for a part of the objects, a cluster analysis respecting this information, i.e. semi-supervised clustering, can give insight into the cl...
Christian Böhm, Claudia Plant
KDD
2003
ACM
195views Data Mining» more  KDD 2003»
14 years 4 months ago
Visualizing changes in the structure of data for exploratory feature selection
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
Elias Pampalk, Werner Goebl, Gerhard Widmer