The action potentials’ features are extracted by PCA, the action potential classification is implemented by the improved K-means algorithm.
该方法采用PCA提取动作电位特征，使用改进K均值算法实现动作电位分类。
参考来源 - 基于PCA和改进K均值算法的动作电位分类And analyzing the experiment result proves the validity and correctness of the combination algorithm of improved K-means and Ant Colony Algorithm. (5)According to experiment, to prove the validity、veracity and superiority of the algorithm proposed by this paper to solve VRP.
通过对标准VRP问题进行实验与结果分析,验证了“加权K-means+蚁群”算法求解VRP问题的有效性、准确性及优越性。
参考来源 - 基于GIS的物流配送路线优化的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The action potentials' features are extracted by PCA, the action potential classification is implemented by the improved K-means algorithm.
该方法采用PCA提取动作电位特征，使用改进K均值算法实现动作电位分类。
This paper proposes a method based on Principal Component Analysis (PCA) combined with improved K-means for action potential classification.
基于此，提出基于主元分析(pca)和改进K均值相结合的动作电位分类方法。
This paper USES the improved K-means (IKM) algorithm to process the missing data and thus improve the precision of the Naive Bayes classifier.
本文利用改进的K -均值算法对缺失数据进行处理，提高了朴素贝叶斯分类的精确度。
应用推荐