A novel competitive learning algorithm for the parametric classification with Gaussian distributions

Wen Jyi Hwang, Bo Yuan Ye, Chin Tsai Lin

研究成果: 雜誌貢獻期刊論文同行評審

5 引文 斯高帕斯(Scopus)

摘要

A competitive learning algorithm for the parametric classification of Gaussian sources is presented in this letter. The algorithm iteratively estimates the mean and prior probability of each class during the training. Bayes rule is then used for classification based on the estimated information. Simulation results show that the proposed algorithm outperforms k-means and LVQ algorithms for the parametric classification.

原文英語
頁(從 - 到)375-380
頁數6
期刊Pattern Recognition Letters
21
發行號5
DOIs
出版狀態已發佈 - 2000 5月
對外發佈

ASJC Scopus subject areas

  • 軟體
  • 訊號處理
  • 電腦視覺和模式識別
  • 人工智慧

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