In this paper, we introduce a spectral method to solve document cluster ensemble problem. Since spectral clustering inevitably needs to compute the eigenvalues ...
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 ...
A spectral method is introduced to solve document cluster ensemble problem by using algebraic transformation to similarity matrix and yields better ...
An Efficient Spectral Method for Document Cluster Ensemble
www.researchgate.net › publication › 22...
Experiments show that our spectral algorithm yields better clustering results than other cluster ensemble techniques without high computational cost.
A critical problem in cluster ensemble is how to combine multiple clusterers to yield a final superior clustering result. In this paper, we present an efficient ...
Xu, Z.M. Lu, G.C. Gu, A fast spectral method to solve document cluster ensemble problem,. The 3rd Intl. Multi-Symposiums on Computer and Computational Sci ...
Spectral clustering is a popular clustering method that uses eigenvectors of a symmetric matrix derived from the distance between datapoints. It has the ...
Oct 21, 2022 · Several works have studied clustering strategies that combine classical cluster- ing algorithms and deep learning methods.
First, graph partitioning is a well studied area and algorithms such as spectral clustering have been successful in a variety of appli- cations (Shi & Malik, ...
