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k-Means

网络算法；K均值；聚类

k-Means

网络释义

k-Means

算法

K-MEANS(K均值聚类算法,C均值算法)_百度文库 ... K-MEANS 算法(K均值算法) k-means 算法 ...

K均值

求中翻英_百度知道 ... 最近邻分类器： K-NN K均值： K-means 拟合直线： fitting line ...

聚类

中国人工智能学会 CAAI ... ACE-value 评测 K-means 聚类 phase-portrait 近似 ...

k均值聚类

博文_龙行天下_新浪博客 ... [转载]向量空间模型( VSM) k均值聚类( K-means) 分类算法之决策树( Decision tree) ...

聚类算法

一个聚类算法(k-means)实例，对想实践一下K_means算法的朋友很实用相关资源收藏(2) 评论举报我的待评论资源 2013 英特 …

K-均值算法

基于数据挖掘的入侵检测技术研... ... ·聚类分析( Clustering Analysis) ·K-均值算法( K-means) ·基于主机的入侵检测系统( HIDS) ...

算法实现

k-means算法C语言实现_百度文库 ... Apriori 算法 k-means 算法实现 k-means 算法 ...

例句：

Clustering analysis has been used in many field of life . K-Means cluster is classic partitioning Clustering.

聚类分析已经被广泛地应用于生活中的各个领域。

The action potentials' features are extracted by PCA, the action potential classification is implemented by the improved K-means algorithm .

该方法采用 PCA 提取动作电位特征，使用改进 K 均值算法实现动作电位分类。

LEACH routing protocol for the lack of a k-means clustering based on the multi-hop routing algorithm clustering LEACH-KMCM.

针对 LEACH 协议的不足，提出了一种基于 k 均值聚类的多跳分簇路由算法 LEACH-KMCM 。

A wide range of existing K -means clustering method to select the initial cluster centers have their own advantages and disadvantages .

现有的种类繁多的 K-均值聚类的初始聚类中心选取方法有各自的优缺点。

CONCLUSIONS : K -means objectively separates contractile and non-contractile tissue components .

结论：K-均值能够客观地区分收缩组织和非收缩组织成分。

Common approaches to unsupervised learning include k-Means, hierarchical clustering, and self-organizing maps .

无监管学习的常见方法包括 k-Means 、分层集群和自组织地图。

First we make a loose classification with k-means clustering algorithm to fix a category of interest .

先用 -均值聚类算法作粗糙划分，确定感兴趣类。

The result shows that k-means cluster isn't suitable for indicators ' classification and factor analysis is a good classification method .

指出聚类分析作为一种公认的分类方法，在期刊评价指标分类中并不适用。

The experiments indicate that the rough K -means based on self-adaptive weights is an effective rough clustering algorithm .

实验结果表明，基于自适应权重的粗糙 K 均值算法是一种较优的聚类算法。

In this dissertation , K-means algorithm is modified , employing spatial context information.

本文对 K 均值算法进行改进，将空间上下文引入其中；

Second, the initial segmented regions were obtained using K-means clustering algorithm in the feature space.

然后，运用 K 均值算法对图像在颜色空间进行聚类，得到初始分割的结果；

After that, unsupervised K-means clustering was calculated to complete spike sorting.

最后通过非监督的 K 均值方法完成动作电位聚类。

Popular approaches include k-Means and hierarchical clustering .

流行的方法包括 k-Means 和分层集群。

This directory contains code implementing the K-means algorithm .

这个目录包含了 K-means 算法的代码实现。

After analyzing the traditional clustering algorithms , the paper presents a new clustering ensemble method based on K-means to cluster data.

本文在分析传统聚类算法的基础上，提出了一种聚类融合算法。

A recognition method based on HMM and K -means cluster is proposed through extracting LPC characteristic from acoustic target .

提出一种隐马尔可夫模型和 K-均值聚类混合模型的声目标识别方法。

The Research of a Hybrid Clustering Algorithm Incorporating PSO into k- Means Algorithm

粒子群优化 k 均值的混合聚类算法研究

Application of A Modified Segmental K-Means Training Algorithm to Keyword Spotting

改进的 K 均值分割算法在关键词检测中的应用

Application of Modified K -means clustering algorithm to Lithofacies Identification

改进的 K-均值算法在岩相识别中的应用

Variant of K-means algorithm for document clustering: optimization initial centers

一种优化初始中心点的 K 平均文本聚类算法

New validity index for determining the number of clusters in K-means clustering

K-means 聚类分析算法中一个新的确定聚类个数有效性的指标

Road Recognition Algorithm Using Principal Component Neural Networks and K -Means

基于主元神经网络和 K-均值的道路识别算法

K -means clustering algorithm based distance concentration

基于距离浓度的 K-均值聚类算法

Traffic Pattern Identification of Elevator Group Control System Based on Immune Evolutionary K -means Clustering Algorithm

免疫规划 K-均值聚类算法识别电梯群控交通流模式

Clustering random samples of multi-gaussian distribution with k-means

例子 .带 k-means 的高斯分布的随机群样例

Research on Extracting the Sclerenchyma Region in a Eucalyptus Image Based on K-means Clustering

基于 K 均值聚类的厚壁组织区域自动提取

k-Means

k-Means

算法

K均值

聚类

k均值聚类

聚类算法

K-均值算法

算法实现

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