This paper introduces concepts and algorithms of feature selection, surveys existing feature selection algorithms for classification and clustering, groups and compares different algorithms with a categorizing framework based on search strategies, evaluation criteria, and data mining tasks, reveals unattempted...
(Furby et al., 2008; Wulder et al., 2008a). Despite the attractiveness of the automatic character of clustering algorithms, they become time consuming when the data dimension is high or the data volume large (Chen and Gong, 2013), and interpreting clusters properly is a challenging and ...
Traf?c Classi?cation Using Clustering Algorithms Jeffrey Erman, Martin Arlitt, Anirban Mahanti University of Calgary, 2500 University Drive NW, Calgary, AB, Canada {erman, arlitt, mahanti}@cpsc.ucalgary.ca ABSTRACT Classi?cation of network traf?c using port-based or payload-based analysis is ...
The methodology is applied to a dataset obtained from a survey on the financial soundness of Korean households and comparative results are presented against other clustering algorithms. The special issue closes with the paper by du Jardin, who presents the development of a classification approach for...
Noisy data, or the presence of outliers, can significantly degrade the performance of these algorithms. Therefore, with noisy datasets, caused by images with different types of lighting, non-clustering algorithms may be preferred; however, Keke et al.5 implemented an improved version of the fuzzy...
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Cluster analysis of medical magnetic-resonance images data: diagnostic application and evaluation We describe the application of statistical clustering algorithms (approximate fuzzy C-means (AFCM) and ISODATA) and a Bayesian/maximum likelihood (BfML) cl... RL Delapaz,E Herskovits,VD Gesu,... - ...
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The concept of clustering algorithms and the basic classification 翻译结果2复制译文编辑译文朗读译文返回顶部 Clustering concept and basic classification algorithm 翻译结果3复制译文编辑译文朗读译文返回顶部 Concept and basic classification of cluster analysis algorithm 翻译结果4复制译文编辑译文朗读译文返回顶部 clus...
J. Data clustering: a review. ACM Comput. Surv. 31, 264–323 (1999). Article Google Scholar Xu, R. & WunschII, D. Survey of clustering algorithms. IEEE Trans. Neural Netw. 16, 645–678 (2005). Article Google Scholar Aghabozorgi, S., Shirkhorshidi, A. Seyed & Wah, T. Ying ...