Sciweavers

551 search results - page 9 / 111
» Spectral Analysis
Sort
View
PAKDD
2011
ACM
214views Data Mining» more  PAKDD 2011»
14 years 25 days ago
Spectral Analysis of k-Balanced Signed Graphs
Abstract. Previous studies on social networks are often focused on networks with only positive relations between individual nodes. As a significant extension, we conduct the spectr...
Leting Wu, Xiaowei Ying, Xintao Wu, Aidong Lu, Zhi...
DATE
2003
IEEE
99views Hardware» more  DATE 2003»
15 years 3 months ago
RF-BIST: Loopback Spectral Signature Analysis
Built-In Self-Test (BIST) becomes important also for more complex structures like complete front-ends. In order to bring down the costs for the test overhead, Spectral Signature A...
Doris Lupea, Udo Pursche, Hans-Joachim Jentschel
CORR
2010
Springer
130views Education» more  CORR 2010»
14 years 8 months ago
Spectral methods for the detection of network community structure: a comparative analysis
Spectral analysis has been successfully applied to the detection of community structure of networks, respectively being based on the adjacency matrix, the standard Laplacian matrix...
Hua-Wei Shen, Xue-Qi Cheng
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
14 years 11 months ago
Semi-supervised Feature Selection via Spectral Analysis
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Zheng Zhao, Huan Liu
PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
15 years 7 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...