The results illustrate that the best centroids initialization in K means clustering is to select vectors characterized the structure of the dataset.

Experimental results show that this new classifier can realize high quality unsupervised image classification, which outperforms the traditional K means classifier.

实验结果表明，该种分类器能很好地实现对纹理粗糙程度模式的无监督分类，其分类性能要明显好于传统的K均值分类器。

Results Fuzzy K means clustering algorithm can segment white matter, gray matter and CSF better from the MR head images.

结果模糊K－均值聚类算法能很好地分割出磁共振颅脑图像中的灰质、白质和脑脊液。

A data matrix based on the signal gain of cellular networks and some criterion functions are designed for K means clustering.

在聚类分解中，以测试点信号增益矩阵构造聚类分解数据，并给出了收敛判定函数和相似度计算方法。

Fuzzy K means Clustering Algorithm and It's Application Study in Segmentation of MR Head Images

模糊K-均值聚类算法及其在磁共振颅脑图像分割中的应用研究

It also resolves the initial parameter problem of K means algorithm.

而且解决了K-means聚类的参数选择问题。

Analysis on K means Clustering Algorithm and Its Application in Teaching Quality of Teacher

K-means聚类算法分析及在教师授课质量评价中的应用

Genetic k Means Algorithm for Clustering of Large Scale Vector Space

大矢量空间聚类的遗传k-均值算法

Cluster analysis based on K means and immune algorithm

基于K均值和免疫算法的聚类分析

Automatic Text Categorization Based on K-Nearest Neighbor

基于K-最近距离的自动文本分类的研究

K-nearest neighbor classifier and BP neural network classifier are designed for the acoustic target classification.

并设计了KNN和改进的BP神经网络两种分类器。

The third step directly classifies the ship as one of the five types with k-nearest neighbor method.

第三步使用k-近邻法直接将舰船目标分配到五类中的一类。

An algorithm for reverse k-nearest neighbor queries based on M-tree in spatial network databases

空间网络数据库中基于M-tree索引的反最近邻查询算法

K-Nearest Neighbor Nonparametric Regression for probability forecasting with its applications

K近邻非参数回归概率预报技术及其应用

K-Nearest Neighbor Nonparametric Estimation Bootstrap Model for Weather Probability Forecasting

概率天气预报的K近邻非参数估计仿真模型

K-Nearest Neighbor Classification Based on Semantic Distance

基于语义距离的K-最近邻分类方法

The performance of K-Nearest Neighbor classification algorithm depends on the selection of distance metrics.

K-NN（K-Nearest Neighbor）分类算法的结果依赖于距离度量的选取。

Mining against-expectation patterns by two ways including k-nearest neighbor graph and correlation analysis.

通过最近邻居图[3]和相关分析两种方法挖掘反期望模式。

Research on k-nearest NeighBor Search Algorithm in P2P

P2P环境中k最近邻搜索算法研究

K-nearest neighbor text categorization algorithm based on vector projection

基于向量投影的KNN文本分类算法

An algorithm for continuous reverse k-nearest neighbor queries of moving objects in road network

道路网络中移动对象的连续反k最近邻查询算法