Chinese translation for "k-means cluster"

类中心聚类
逐步聚类分析

Related Translations:

k:  短语和例子K, k(pl. Ks, K's; ks, k's )1.英语字母表第十一字母。2.K字形物体[记号]。3.一个序列中的第十一〔若 J 略去则为第十〕。4.【数学】与 Z 轴平行的单位矢量。5.【化学】元素钾(Potassium) 的符号〔由拉丁名 Kalium 而来〕。6.〔K〕【气象学】积云 (cumulus)的符号。7.〔K〕【数学】常数(constant)

k keyword:  关键字

k gibraltar:  直布罗陀

k转换:  k conversionk-conversion

daniel k:  配戴右手钻戒

k value:  k值粘度值

k bentonite:  钾盐班脱土

fibre k:  英国制聚特戊酯纤维纤维

k electron:  k层电子k电子

michael k:  边走边爱别怕我伤心志荣-诉说

Example Sentences:

	1.	On the improvement of k - means clustering algorithm 均值聚类算法的研究
	2.	A fast fractal image compression algorithm based on k - mean clustering optimization 均值聚类优化的快速分形图像压缩算法
	3.	First , the whole system was decomposed into several subsystems by adopting frizzy k - means cluster 首先，采用动态聚类方法，将整个系统分解为几个子系统。
	4.	3 ) k - mean clustering algorithm is used classification . the category is two , according to the object and the experience knowledge 3 )应用无监督分类算法中k均值( k - means )聚类算法对输入特征向量进行分类。
	5.	The euclidean distance is usually chosen as the similarity measure in the conventional k - means clustering algorithm , which usually relates to all attributes 传统的k -均值算法选择的相似性度量通常是欧几里德距离的倒数，这种距离通常涉及所有的特征。
	6.	This paper studies using the k - means clustering algorithm to classified the obtained image , submits through two phases to retrieve the image and adjusts the weight using the relevant feedback method 本文研究利用k均值聚类方法对检索得到的图像进行分类,通过两阶段提交对图像进行筛选,并利用相关反馈方法来调整权重。
	7.	The property of the recall - precision curve of a general retrieval algorithm and the k - means clustering method are used to realize the expansion according to the distance of image features of the initially retrieved images 扩展主要利用了一般检索算法的查准率查全率曲线特点，对原始查询结果的图像特征距离应用k -均值聚类算法，确定多个查询示例图像。
	8.	Finally , according to the practical requirement of classification management to credit risk management , it uses k - means clustering method to cluster the evaluation result , and then get the credit ranks the small and middle enterprises belong to 最后,根据对信用风险管理应实行分级管理的实践要求,利用k -平均聚类划分法对信用风险评估结果进行聚类划分,从而得到各中小企业所属于的信用风险等级。
	9.	In this text , we first do some research on the genetic algorithm about clustering , discuss about the way of coding and the construction of fitness function , analyze the influence that different genetic manipulation do to the effect of cluster algorithm . then analyze and research on the way that select the initial value in the k - means algorithm , we propose a mix clustering algorithm to improve the k - means algorithm by using genetic algorithm . first we use k - learning genetic algorithm to identify the number of the clusters , then use the clustering result of the genetic clustering algorithm as the initial cluster center of k - means clustering . these two steps are finished based on small database which equably sampling from the whole database , now we have known the number of the clusters and initial cluster center , finally we use k - means algorithm to finish the clustering on the whole database . because genetic algorithm search for the best solution by simulating the process of evolution , the most distinct trait of the algorithm is connotative parallelism and the ability to take advantage of the global information , so the algorithm take on strong steadiness , avoid getting into the local 本文首先对聚类分析的遗传算法进行了研究,讨论了聚类问题的编码方式和适应度函数的构造方案与计算方法,分析了不同遗传操作对聚类算法的性能和聚类效果的影响意义。然后对k - means算法中初值的选取方法进行了分析和研究,提出了一种基于遗传算法的k - means聚类改进(混合聚类算法) ,在基于均匀采样的小样本集上用k值学习遗传算法确定聚类数k ,用遗传聚类算法的聚类结果作为k - means聚类的初始聚类中心,最后在已知初始聚类数和初始聚类中心的情况下用k - means算法对完整数据集进行聚类。由于遗传算法是一种通过模拟自然进化过程搜索最优解的方法,其显著特点是隐含并行性和对全局信息的有效利用的能力,所以新的改进算法具有较强的稳健性,可避免陷入局部最优,大大提高聚类效果。

Similar Words：

"k-lite pack" Chinese translation, "k-mall" Chinese translation, "k-mart" Chinese translation, "k-max vitamin c" Chinese translation, "k-mcm" Chinese translation, "k-meson" Chinese translation, "k-model" Chinese translation, "k-nearest neighbor estimation" Chinese translation, "k-nearest neighbor method" Chinese translation, "k-nearest neighbour method" Chinese translation