A new fuzzy k-nearest neighbor codebook design algorithm of vector quantization

A Particle Swarm Optimization Based Rapid K-Nearest Neighbor Classification Algorithm

基于微粒群优化的快速K-近邻分类算法

An application of K-nearest neighbor algorithm for the teaching of web page classification

K近邻算法在教学网页分类中的应用

Computer Virus Detection Based on Improved K-Nearest Neighbor Algorithm

基于改进的K-最近邻算法的病毒检测方法

Application of Fuzzy ART in the K-Nearest Neighbor Classification Algorithm

基于Fuzzy ART的K-最近邻分类改进算法

Application Study of Segmentation Algorithm of Head MRI Based ON K-Nearest Neighbor Rule

基于K-最近邻规则的磁共振颅脑图像分割算法的应用研究

Design and Implementation of Web Page Automation Classification System Based on K-Nearest Neighbor Algorithm

基于K-近邻算法的网页自动分类系统的研究及实现

A Gradual Chinese Text Classification Technology Based on the k-nearest Neighbor Method

基于k-近邻方法的渐进式中文文本分类技术

In order to reduce the effect of dielectric coefficient and magnetic inductive capacity on pipeline robot's localization, an N order K nearest neighbor ( K-NN) electromagnetic wave localization algorithm is presented.

为了减小传输介质介电常数、磁导率参数对管道机器人定位的影响，提出了N次K-NN分类算法。

The statistic approaches, for example, distance, Fisher, k nearest neighbor, wise linear classifiers, fail to solve multi regional distributions such as the alternate table problems.

当处理同类别多区域样本分布问题，例如变标签问题时，距离判别、Fisher判别、k-近邻分类、分段线性分类等统计分析方法遇到困难。

This paper presents an algorithm based on the combination of Support Vector Maching ( SVM) and k Nearest neighbor ( k NN), to deal with ambiguities in Chinese word segmentation.

本文提出了基于支持向量机（SVM）和k近邻（kNN）相结合的一种分类方法，用于解决交集型伪歧义字段。

We measure the importance of bins on some level by K nearest neighbor entropy, then we remove those bins whose k nearest neighbor entropy bigger than threshold.

我们通过K近邻信息熵来衡量某个层次上格子的重要程度，并移除那些K近邻信息熵大于此层次阈值的格子。

Considering K Nearest Neighbor ( KNN) method has high accuracy but poor efficiency, this paper proposes a text categorization method based on the guidance of posterior probability named B-KNN.

针对K最近邻（KNN）方法分类准确率高但分类效率较低的特点，提出基于后验概率制导的贝叶斯K最近邻（B-KNN）方法。

In this step, we use the strategy of combining the k nearest neighbor classifier and mutual information to judge if the two ROIs are visual similar.

在第二层的精筛阶段，利用最近邻分类器和互信息相结合的策略来度量两个ROI在视觉上是否相似。

A method to predict the subcellular location of proteins is proposed based on the LZ complexity similarity of symbolic sequences and K nearest neighbor rule.

提出了一个基于符号序列LZ复杂性相似度和K近邻规则的蛋白质亚细胞位点类型预测的方法。

K nearest neighbor query on moving objects based on road networks mainly has two challenges, manage efficiently moving objects position update and offer fast network distance calculations.

基于路网的移动对象K近邻查询主要有两个挑战，分别是有效地管理移动对象位置更新和提供快速的网络距离计算。

This technology which combines Decision Trees and K Nearest Neighbor, can mine the relative similarity of latent-item in the course of case search.

该方法将决策树法和近邻检索法等数据挖掘技术相结合，对事例检索过程中必需的特征项相似度进行挖掘。

At present, there are many pattern classification algorithms, mainly including bayes classifier, support vector machine, K nearest neighbor method and so on.

目前，模式分类的算法比较多，常用的有贝叶斯分类器、支持向量机、K近邻法等。

In order to improve the efficiency and accuracy of search, the order of case retrieval is index, keyword and K nearest neighbor.

为了提高系统检索的效率和准确度，事例检索的方法按照索引、关键字、K最近邻法的顺序进行。

This paper presents a modified K nearest neighbor ( MK NN) track correlation algorithm applying to distributed multisensor data fusion.

提出一种适合于分布式多传感器数据融合的新的航迹相关算法（MK－NN）。

In this paper we develop an efficient method in order to process k nearest neighbor queries ( K-NN) in a mobile environment.

本文提出了一个以处理动态环境下的K个最近邻居（K-NN）查询问题的有效的方法。