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k-mean怎么读
k-mean的读音:[keɪ miːn]
k-mean的意思
1、K均值;K-均值;K平均
k-mean的相关词组
1、average mean 平均值;平均数
2、arithmetic mean 算术中项,算术平均;
3、annual mean 年平均(值);
4、greenwich mean time 格林威治时间;格林尼治平时;
5、golden mean 中庸之道,(美术)黄金分割;
6、geometric mean 几何平均数,等比中项;
7、mean value 平均数[值];平均值;
8、mean to do 打算做;有意做;打算做某事;想要做某事;本意是想要做某事
9、mean to 对…刻薄;对…来说很重要…
10、mean height 平均高;
11、mean for 预定作某种用途;意欲把某物给某人;
12、mean corpuscular volume 红细胞平均体积;
13、mean by 通过…表达;
14、mean business 认真的,严肃的;
15、mean age at death 平均死亡年龄;
16、no mean 很好的;
17、What do you mean 你是什么意思;
18、be mean to 对…刻薄;对…吝啬;
19、K of C Knights of Columbus 哥伦布爵士;
20、mean well 对某人有好意;
k-mean的双语例句
1、A double k-mean clustering algorithm for modeling and clustering the gene sequence data is proposed by using the hidden Markov models ( HMMs).
本文提出了一种基于隐马尔可夫模型的二次k-均值聚类算法并实现了对基因序列数据的建模与聚类。
2、For the segmentation of digital human color slice images, an algorithm based on the theory of connected component labeling in combination with K-mean clustering was proposed.
针对数字人脑彩色切片图像,本文提出了一种连通域标记结合K-均值聚类的分割方法。
3、K-Mean Cluster Particle Swarm Optimization Algorithm Based on Self-adaptive Chaotic Mutation
基于自适应混沌变异的k-均值聚类粒子群算法
4、A Double k-Mean Clustering Algorithm for Sequential Gene Data Based on the Hidden Markov Model
基于隐马尔可夫模型的二次k-均值基因序列聚类算法
5、The fast K-mean image segmentation algorithm based on the grey histogram
基于灰度直方图的快速K-MEAN图象分割算法
6、K-mean algorithm for optimizing the number of clusters based on particle swarm optimization
基于微粒群优化聚类数目的K-均值算法
7、Micrograph Segmentation of Chinese traditional medicine Lamina Based on K-mean Clustering Algorithm
基于K-均值聚类算法的中药叶片显微图像分割
8、K-mean distance outlier factor detect for outlier pattern of time series
时间序列异常模式的k-均距异常因子检测
9、Metal Artifact Reduction in CT Using K-Mean Cluster Algorithm
基于K均值聚类算法的CT图像金属伪影去除
10、Application of Fuzzy of K-mean Cluster Analysis on the Classification research of Acid-base Properties of Compounds
模糊K均值聚类分析在化合物酸碱性分类研究中的应用
11、Segmentation of Caption Region Using Wavelet Transform and K-Mean Clustering
利用小波变换和K均值聚类实现字幕区域分割
12、The K-mean clustering algorithm is improved in class centers initialization for fast convergence.
同时对K-均值聚类算法的初始值设定进行了改进以提高收敛速度。
13、A K-mean and Markov random field combined classification algorithm is presented for the coherence map classification.
提出了基于K-均值-Markov随机场的干涉SAR相关系数图组合分类算法。
14、Fast Fractal Coding by Combining K-Mean Clustering and KD-Tree Search
结合K均值聚类和KD-Tree搜索的快速分形编码方法
15、The k-mean cluster is used for the clustering of the time series. The results show the efficiency of the algorithm.
将k-平均(k-mean)聚类算法应用于分段线性化表示的时间序列,聚类结果表明算法非常有效。
16、K-mean methods are usually sensitive to initial clustering centers and propose bad results for irregular distributed samples.
K-均值算法受初始聚类中心的选择影响较大,对于不规则分布的样本往往聚类的效果不佳。
17、The K-mean cluster analysis is used to classify the process data and obtain the data sets under various steady operating condition.
提出了一种适用于火电厂生产过程的改进PCA故障检测方法:首先用K均值聚类分析方法对过程数据进行分类得到各稳态工况下的数据;
18、The main study of article is: ( 1) A fast method for fractal image coding based on K-mean clustering is proposed.
主要工作如下:(1)基于K均值聚类的快速编码算法。
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