Title :
Consistent Estimator of Median and Mean Graph
Author :
Jain, Brijnesh ; Obermayer, Klaus
Author_Institution :
Berlin Univ. of Technol., Berlin, Germany
Abstract :
The median and mean graph are basic building blocks for statistical graph analysis and unsupervised pattern recognition methods such as central clustering and graph quantization. This contribution provides sufficient conditions for consistent estimators of true but unknown central points of a distribution on graphs.
Keywords :
graph theory; pattern clustering; statistical analysis; central clustering; consistent median estimators; graph quantization; mean graph; statistical graph analysis; unsupervised pattern recognition methods; Calculus; Machine learning; Measurement; Optimization; Pattern recognition; Quantization; Stochastic processes;
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-7542-1
DOI :
10.1109/ICPR.2010.258