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Geometric Manifold Energy and Manifold Clustering
[chapter]
2009
Lecture Notes in Computer Science
A general nonparametric technique is proposed for the description of geometric manifold energy of unorganized data. Minimizing the energy leads to an optimal cycle, from which underlying manifolds are easily distinguished. We design a new framework for manifold clustering based on energy minimization. In addition, we propose the active tabu search method to approximately solve for the optimal solution to energy minimization. We have applied the proposed technique to both synthetic and real
doi:10.1007/978-3-642-01510-6_76
fatcat:l5e75itesrcahhvq6xrshhudge