1.含义 聚类(Clustering)是按照某个特定标准(如距离)把一个数据集分割成不同的类或簇,使得同一个簇内的数据对象的相似性尽可能大,同时不在同一个簇中的数据对象的差异性也尽可能地大,即把相似的东西分到一组; 参考自https://zhuanlan.zhihu.com/p/104355127 聚类算法是一种典型的无监督学...
Agglomerative clustering is a general family of clustering algorithms that build nested clusters by merging data points successively. This hierarchy of clusters can be represented as a tree diagram known as dendrogram. The top of the tree is a single cluster with all data p...
Elbow ruleLinkage criterionHigh-dimensionality dataK-meansThis paper introduces an optimal clustering-based strategy to gain representative demand curves from hourly demand data that allow determining the power transmission network investment by solving the transmission expansion planning (TEP) problem. The ...
Thus, the proposed method consists of extracting the phase of the oscillatory modes via a modal identification technique and applying a hierarchical agglomerative clustering technique together with the Elbow's method to gather the phases of each mode, enabling to provide coherent trajectories of ...
Once optimum number of clusters is found then K-means clustering algorithm is again applied to generate large number of clusters, following which pair of clusters with most similar characteristics are merged iteratively until number of clusters are reduced upto optimum number of clusters as decided ...