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机译:基于知识熵的特征加权谱聚类算法
School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China;
School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China,Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190 China;
School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China;
School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China;
School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China;
spectral clustering; rough set; knowledge entropy; attribute importance;
机译:基于知识熵的特征加权谱聚类算法
机译:基于粗糙熵约简的特征加权亲和力传播聚类算法
机译:利用预期最大化算法和基于加权平均融合的特征提取的频段聚类,用于高光谱图像分类
机译:基于熵的自适应特征加权FCM聚类算法
机译:SPARTAN:一种基于频谱和熵的部分扫描和测试点插入算法。
机译:通过基于加权eRFM和CLV模型的聚类分类算法从患者行为中发现知识:公共卫生服务的实证研究
机译:基于模糊聚类算法的多光谱图像分割与Tsallis熵和高斯混合模型相结合