Search - K-medoids

Search - K-medoids - List

[Mathimatics-Numerical algorithms] k_means DL : 0: k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。 Matlab 源代码，以兰花数据集作为测试对象。-k-means algorithm to accept input k then n data object is divided into k-clustering in order to make available to the cluster to meet: the same objects in clustering high similarity and objects in different clustering the similarity smaller. Cluster similarity is the use of the clustering of objects by means of a
Date : 2025-12-24 Size : 3kb User : 烈马
[Mathimatics-Numerical algorithms] K-Means DL : 0: K均值聚类算法 C++实现的K均值聚类算法。-K means clustering algorithm C++ Achieved K-means clustering algorithm.
Date : 2025-12-24 Size : 176kb User : ellen
[Mathimatics-Numerical algorithms] knn DL : 0: k均值聚类+matlab 有详细的注释和图片-failed to translate
Date : 2025-12-24 Size : 409kb User : whnmyt
[Mathimatics-Numerical algorithms] k-mean+k-medoids DL : 0: 机器学习中的两个基本算法，k-means 和k-medoids 通过学习英文课件，更好的理解算法内涵(Machine learning in the two basic algorithms, K-means and k-medoids through learning English courseware, better understanding of the algorithm connotation)
Date : 2025-12-24 Size : 531kb User : tink2123