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Inventi Impact: Artificial Intelligence

Articles

  • Inventi:eai/21963/17
    A Self-Adaptive Fuzzy -Means Algorithm for Determining the Optimal Number of Clusters
    01-Jan-1970 Research 2017 : April - June
    Min Ren, Peiyu Liu, Zhihao Wang, Jing Yi

    For the shortcoming of fuzzy c-means algorithm (FCM) needing to know the number of clusters in advance, this paper proposed\na new self-adaptive method to determine the optimal number of clusters. Firstly, a density-based algorithm was put forward.The\nalgorithm, according to the characteristics of the dataset, automatically determined the possible maximum number of clusters\ninstead of using the empirical rule âË?Å¡

    How to Cite this Article
    CC Compliant Citation: Min Ren, Peiyu Liu, Zhihao Wang, and Jing Yi, â??A Self-Adaptive Fuzzy c-Means Algorithm for Determining the\nOptimal Number of Clusters,â? Computational Intelligence and Neuroscience, vol. 2016, Article ID 2647389, 12 pages, 2016.\ndoi:10.1155/2016/2647389, http://creativecommons.org/licenses/by/4.0/.
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