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نمایش تعداد 1-10 از 61
A non parametric method to estimate the number of clusters
ناشر: Elsevier Science
سال: 2014
Feature Selection in Spectral Clustering
سال: 2011
خلاصه:
Spectral clustering is a powerful technique in clustering specially when the structure of
data is not linear and classical clustering methods lead to fail. In this paper, we propose a
spectral clustering algorithm with a...
Cluster Forests
سال: 2013
Eigenvector Selection in Spectral Clustering using Tabu Search
سال: 2011
خلاصه:
Ng. Jordan Weiss (NJW) is one of the most widely
used spectral clustering algorithms. For partitioning data into
clusters, this method uses the largest eigenvectors of the
normalized affinity matrix derived from...
Social networking sites' feature development from a complexity theory perspective
ناشر: IEEE
سال: 2014
Integrating Clinical Data from Cross-Sectional and Longitudinal Studies
ناشر: IEEE
سال: 2014
Data integration challenges for standards-compliant mobile applications
ناشر: IEEE
سال: 2014
Anti-forensics techniques: An analytical review
ناشر: IEEE
سال: 2014
A frequency and pattern reconfigurable microstrip antenna using PIN diodes
ناشر: IEEE
سال: 2014