1.
Application of k-means clustering analysis in process improvement
k均值聚类分析在过程改进中的应用
2.
Hybrid Particle Swarm Optimization employing improved k-means clustering analysis strategy
采用改进的k均值聚类分析策略的粒子群算法
3.
Outliers detection method based on K-means and agglomerative clustering
基于K-均值聚类和凝聚聚类的离群点查找方法
4.
Dynamic Spectrum Access Technical Based on K-means Clustering
基于K-均值聚类的动态频谱接入技术
5.
K Mean Cluster Algorithm with Refined Initial Center Point
K均值聚类算法初始质心选择的改进
6.
Updated Learning Algorithm of Support Vector Data Description Based on K-Means Clustering
改进的基于K均值聚类的SVDD学习算法
7.
Segmentation Algorithm for Green Apples Recognition Based on K-means Algorithm
基于K-均值聚类的绿色苹果识别技术
8.
An improved genetic K-means clustering algorithm based on image segmentation
改进的图像分割遗传K-均值聚类算法
9.
Improved K-Means Clustering Algorithm Based on SOFM
基于SOFM网络的改进K-均值聚类算法
10.
Random network topology model based on K-means
基于K均值聚类的随机网络拓扑模型
11.
Design of Classification Based on SOM Neural Network and K-means Cluster;
基于SOM神经网络和K-均值聚类的分类器设计
12.
Research on Problems Related to the Initial Center Selection in K-means Clustering Algorithm;
K-均值聚类算法初始中心选取相关问题的研究
13.
Canny operator and K-means cluster applied to hand vein recognition
Canny算子和K-均值聚类用于手背静脉识别
14.
K-means Clustering Method Based on Mixture of Genetic Operator and Partical Swarm
基于遗传算子和粒子群混合的K均值聚类方法
15.
A Fuzzy K-Means Customer Clustering Algorithm Combined with PSOA
一种结合PSOA的模糊K-均值客户聚类算法
16.
IMPROVED K-MEANS CLUSTERING FOR REMOTE SENSING IMAGES IN COMBINATION OF COLOUR AND TEXTURE
结合颜色和纹理的改进K均值遥感图像聚类
17.
The Two-stage Text Clustering Algorithm Based on K-mesans and aiNet
基于K均值和aiNet的两阶段文本聚类算法
18.
K-mean algorithm for optimizing the number of clusters based on particle swarm optimization
基于微粒群优化聚类数目的K-均值算法