Segmentation Algorithm for Green Apples Recognition Based on K-means Algorithm

Clustering Data Mining Applications in Department Store and K-means Clustering Algorithm Improvement

聚类数据挖掘在商场中的应用及K-means聚类算法改进研究

The traditional k-means algorithm has sensitivity to the initial start center.

传统的k-means算法对初始聚类中心敏感，聚类结果随不同的初始输入而波动。

Optimization Study on k Value of K-means Algorithm

K-MEANS算法中的K值优化问题研究

A Projection Pursuit Classification Model Based on K-Means Dynamic Cluster

基于K-Means动态聚类的投影寻踪分类模型

Introduces "axial K-means" algorithm using in documents retrieval.

介绍轴K－平均算法在文档检索中的应用。

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

Tobacco Distribution Area Classification Based on Improved K-means Algorithm

基于改进K-means算法的烟草配送区域划分

On the K-means Clustering of the Gene Expression Data Based on Genetic Algorithm

基于遗传算法的基因表达数据的K-均值聚类分析

Experimental results show that K-means method can get good clustering image segmentation effect.

实验结果表明K-means方法可以取得好的聚类分割效果。

Application on K-means Text Clustering Algorithm in Intelligent Question Answering System

K-均值文本聚类算法在智能答疑系统中应用

D Point Cloud Model Segmentation Based on K-means Cluster Analysis

基于K-means聚类方法的三维点云模型分割

Clustering Method of Time Series Based on EMD and K-means Algorithm

基于EMD与K-means算法的时间序列聚类

Research in Improved Negative Selection Algorithm Based on K-means Clustering

基于K-均值聚类的改进非选择算法研究

Study and Application of k Value Optimization Based on the k-means Clustering Algorithm

基于k-means算法的k值优化的研究与应用

Research on Load Model Based on K-Means Clustering Algorithm

基于K-means聚类算法的负荷模型研究

Research into K-means Clustering Algorithm Based on Dynamic Tunneling System

基于动态隧道系统的K-means聚类算法研究

A Cluster Analysis Method Based on Improved K-Means Algorithm

一种基于改进的K-Means算法的聚类分析方法

Research of K-Means Clustering in Data Mining Based on Genetic Algorithm

基于遗传算法的k-means聚类挖掘方法的研究

A pattern classification of the mean pentad circulations at 500 MB level over East Asia for each NSS by the method of k-mean cluster analysis

应用K均值聚类法对东亚各自然天气季节500毫巴候平均环流的分型试验

In the process of identification, a search method is presented that the K-mean theory in pattern recognition is used in the cost function, which can promote the efficiency of identification.

辨识过程中，提出一种将模式识别中的K平均理论应用于代价函数搜索的方法，提高辨识效率。