{"title":"K-Means Fast Learning Artificial Neural Network, an alternative network for classification","authors":"A. Phuan, S. Prakash","doi":"10.1109/ICONIP.2002.1198196","DOIUrl":null,"url":null,"abstract":"The K-Means Fast Learning Artificial Neural Network (K-FLANN) is an improvement of the original FLANN II (Tay and Evans, 1994). While FLANN II develops inconsistencies in clustering, influenced by data arrangements, K-FLANN bolsters this issue, through relocation of the clustered centroids. Results of the investigation are presented along with a discussion of the fundamental behavior of K-FLANN. Comparisons are made with the K-Means Clustering algorithm and the Kohonen SOM. A further discussion is provided on how K-FLANN can qualify as an alternative method for fast classification.","PeriodicalId":146553,"journal":{"name":"Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.","volume":"413 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICONIP.2002.1198196","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
The K-Means Fast Learning Artificial Neural Network (K-FLANN) is an improvement of the original FLANN II (Tay and Evans, 1994). While FLANN II develops inconsistencies in clustering, influenced by data arrangements, K-FLANN bolsters this issue, through relocation of the clustered centroids. Results of the investigation are presented along with a discussion of the fundamental behavior of K-FLANN. Comparisons are made with the K-Means Clustering algorithm and the Kohonen SOM. A further discussion is provided on how K-FLANN can qualify as an alternative method for fast classification.