搜索资源列表
my_kmeans
- 模式识别k_means聚类算法。-kmeans clutering algorithm for Pattern Recognition
K_Means
- k-means是一种经典的聚类算法，这是用java实现k-means的源码，其中包括了测试数据文件
k_means
- k-means(欧氏距离)聚类算法是最基本的聚类算法，是理解和应用聚类算法的基础，通过k-means(欧氏距离)聚类算法我们才可以初步了解数据挖掘的原理。-k-means (Euclidean distance) clustering algorithm is the most basic clustering algorithm, is understanding and the basis for the application of clustering algorithm, throu
k_means
- k-nearest 聚类算法,用最短距离计算一组数据的聚类算法-k-nearest clustering
cluster
- 经典K_MEANS聚类算法，代码详细，编程风格良好-Classic K_MEANS clustering algorithm, the code in detail, good programming style
K_Means
- k均值聚类程序，本算法广泛用于模式识别、人工智能等项目，采用标准C编写而成。-kmeans program mainly used for mode recognition
FCM_algorithm_based_K_means_clustering_algorithm_a
- 基于K_means算法和FCM算法的聚类研究-FCM algorithm based K_means clustering algorithm and study
k_means-1982
- kmeans算法，用于结局聚类分析等问题-kmeans algorithm for cluster analysis of outcomes and other issues
GA-k-means
- GA-k-means算法 基于遗传算法的k_means聚类方法的研究(33-48)-GA-k-means algorithm
K_means
- k-means算法是根据聚类中的均值进行聚类划分的聚类算法。 输入：聚类个数k，以及包含n个数据对象的数据。 输出：满足方差最小标准的k个聚类。
Dephi_Kmeans
- Delphi语言编写的K_Means算法，演示了详细聚类过程。-K_Means language of the Delphi algorithm, the clustering process is demonstrated with.
K_means
- k均值算法源码.k均值是基于数据划分的无监督聚类算法，数据挖掘领域十大算法之一-k-means algorithm source code
主动半监督K_means聚类算法研究及应用_吕峰.caj
- 基于师生模型实现半监督学习，百万级数据级(Semi supervised learning based on teacher-student model, million data level)