An Enhanced Wu-Huberman Algorithm with Pole Point Selection Strategy
Joint Authors
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-15
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
The Wu-Huberman clustering is a typical linear algorithm among many clustering algorithms, which illustrates data points relationship as an artificial “circuit” and then applies the Kirchhoff equations to get the voltage value on the complex circuit.
However, the performance of the algorithm is crucially dependent on the selection of pole points.
In this paper, we present a novel pole point selection strategy for the Wu-Huberman algorithm (named as PSWH algorithm), which aims at preserving the merit and increasing the robustness of the algorithm.
The pole point selection strategy is proposed to filter the pole point by introducing sparse rate.
Experiments results demonstrate that the PSWH algorithm is significantly improved in clustering accuracy and efficiency compared with the original Wu-Huberman algorithm.
American Psychological Association (APA)
Sun, Yan& Ding, Shuxue. 2013. An Enhanced Wu-Huberman Algorithm with Pole Point Selection Strategy. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-483140
Modern Language Association (MLA)
Sun, Yan& Ding, Shuxue. An Enhanced Wu-Huberman Algorithm with Pole Point Selection Strategy. Abstract and Applied Analysis No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-483140
American Medical Association (AMA)
Sun, Yan& Ding, Shuxue. An Enhanced Wu-Huberman Algorithm with Pole Point Selection Strategy. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-483140
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-483140