… 本节主要介绍Rattle 环境下的主要的K-means 算法 和层次聚类的hclust 算法. K-means 聚类…
因此,关于k-means 的研究将主要集中在数据集中每个属性的不同测量的均值的定义方法,聚类个…

… spatial clustering algorithms cannot obtain satisfied clustering … , a novel data field for spatial
clustering, called aggregation … graph-based algorithms may be further modified to achieve …

… An image processing strategy involving color⁃based seg⁃ mentation K⁃means clustering
was utilized to separate the color areal of LW from that of EW. Consequently, the average …

… classification method Each continent is classified separately by K-means method and
then stitched together. Water and urban were masked with existing data …

… K means clustering algorithm based on the number of landcover types is adopted to find an
optimal labeling of each watershed region. To ensure the gradient of the incident angle effect…

… 基本算法K-means 算法中的K 值确定, 初始聚类中心选择以及分类属性数据处理等主要问题
进行综述, 理清K-means 算法的整个发展脉络及算法研究中的热点和难点, 提出改进K-means 聚类…

… we propose a Modify K-means method for distance matrix based clustering. Usually, clustering
methods are … A well-known method of Partitioning method is K-means algorithm. This …

… clustering centers no longer changed. Based on the quantum simulation computing framework
QisKit, the proposed algorithm … that the F1 score of the QKMH algorithm is improved by 10 …

… To this end, we propose a modified K-means algorithm for pattern identification on monitoring
… K-means algorithm, we improve the clustering results through the proposed algorithm. We …