Titlebook: Data Engineering and Management; Second International Rajkumar Kannan,Frederic Andres Conference proceedings 2012 Springer-Verlag GmbH Berl

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Arctic

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corporate

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联想记忆

Reduct and Variance Based Clustering of High Dimensional Datasetthe clusters. The k-means clustering algorithm is applied with these initial cluster centres, in phase three, to find optimal clustering of data set. It improves efficiency of the clustering process tremendously and our experiment on test data set shows that accuracy of the results has improved considerably.

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Mining Single Pass Weighted Pattern Treeingle-pass by applying tree restructuring technique and considerably reducing the mining time. It is competent of using prior tree structures and acquires mining outcomes to decrease the computation by incredible amount. Performance analysis show that our tree structure is very efficient for incremental and interactive weighted pattern mining.

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G. Leclercq,S. Toma,J. C. Heusonal techniques such as holistic methods (PCA,LDA,ICA), feature based methods(Elastic Bunch Graph Matching, Dynamic Link Matching),model based methods(Active Appearance Model,3D Morphable Models) and hybrid method(Markov Random Field Method) are well known for face detection and recognition.