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» Approximate Spectral Clustering.
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LREC
2008
129views Education» more  LREC 2008»
13 years 9 months ago
Spectral Clustering for a Large Data Set by Reducing the Similarity Matrix Size
Spectral clustering is a powerful clustering method for document data set. However, spectral clustering needs to solve an eigenvalue problem of the matrix converted from the simil...
Hiroyuki Shinnou, Minoru Sasaki
MOC
2010
13 years 2 months ago
Analysis of spectral approximations using prolate spheroidal wave functions
Abstract. In this paper, the approximation properties of the prolate spheroidal wave functions of order zero (PSWFs) are studied, and a set of optimal error estimates are derived f...
Li-lian Wang
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
13 years 11 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
ICCS
2007
Springer
13 years 11 months ago
Spectral Collocation Technique for Absorbing Boundary Conditions with Increasingly High Order Approximation
Abstract. An efficient treatment is developed for the Schr
Zhenli Xu, Houde Han
ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
14 years 1 months ago
Incremental Spectral Clustering and Its Application To Topological Mapping
Abstract— This paper presents a novel use of spectral clustering algorithms to support cases where the entries in the affinity matrix are costly to compute. The method is increm...
Christoffer Valgren, Tom Duckett, Achim J. Lilient...