Abstract: Cluster ensemble techniques have been recently shown to be effective in improving the accuracy and stability of single clustering algorithms.
An Efficient Spectral Method for Document Cluster Ensemble
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Experiments show that our spectral algorithm yields better clustering results than other cluster ensemble techniques without high computational cost.
Experiments show that our spectral algorithm yields better clustering results than other cluster ensemble techniques without high computational cost. Cited By.
This paper presents an efficient spectral graph theory-based ensemble clustering method feasible for large scale applications such as document clustering, ...
An Efficient Spectral Method for Document Cluster Ensemble - NDLI
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An Efficient Spectral Method for Document Cluster Ensemble. A Method of Region-based Calculating Image Similarity for RBIR System · Multi-source Color Transfer ...
Bibliographic details on An Efficient Spectral Method for Document Cluster Ensemble.
A spectral method is introduced to solve document cluster ensemble problem by using algebraic transformation to similarity matrix and yields better ...
The portal can access those files and use them to remember the user's data ... An Efficient Spectral Method for Document Cluster Ensemble. Sen Xu, Zhimao Lu ...
The critical problem in cluster ensemble is how to combine clusterers to yield a final superior clustering result. In this paper, we introduce a spectral ...
Zhang: [2] Author propose an efficient spectral clustering method for large-scale data. The main idea in our method consists of employing random Fourier.