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1)  k-prototype clustering
k-prototype聚类
2)  K-means clustering
K-means聚类
1.
More effective algorithm for K-means clustering;
求解K-means聚类更有效的算法
2.
Research on segmenting color regions in textile printing image based on K-means clustering;
基于K-means聚类的纺织品印花图像区域分割
3.
Collaborative filtering recommendation model based on effective dimension reduction and K-means clustering
一种结合有效降维和K-means聚类的协同过滤推荐模型
3)  K-median clustering
K-Median聚类
4)  K-mean clustering
K-mean聚类
1.
The Warning Model of Melon Thrips Based on k-mean Clustering Combining Fuzzy Association Rules Algorithm
融入监督信息的k-mean聚类瓜蓟马预警模型
2.
This paper describes the theory of phylogenetic profile,focuses on the amelioration of K-mean clustering algorithm in analyzing the gene phylogenetic profile,also compare with the traditional K-mean clustering algorithm.
简要介绍了系统发育谱法的原理,着重阐述了K-mean聚类算法在对基因系统发育谱分析中的改进,并与传统的K-mean聚类算法进行比较。
3.
This proposed medical image classify based on weighted complex network cluster after analyzing advantages and disadvantages of the traditional K-mean clustering algorithm and the new theory results achieved in the field of complex networks.
为了建立高效的肿瘤自动诊断系统,克服因医学MIR图像的复杂性带来的直接从图像中看出肿瘤及良、恶性质的困难,结合复杂网络社团划分的部分理论成果和K-mean聚类算法的思想,提出了基于加权复杂网络聚类的医学图像分类器。
5)  K-Means cluster
K-Means聚类
1.
This paper adopted K-Means cluster to undertake spatio-temporal analysis of the number of tourists in Yancheng eco-tourism area for David s deer.
本文采用K-Means聚类法对盐城麋鹿生态旅游区游客数进行时空聚类,分别从省内和国内(省际)两个尺度上讨论了麋鹿生态旅游区游客变化的阶段性和市场划分,结果表明,1998~2005年间省内旅游流和国内(省际)旅游流从时间上可分为三个阶段,并较好地划分出了四种不同的客源地类型。
2.
Aiming at the high risk of customer loan contract violation in bank enterprise,combining a characteristic analysis model in economics with K-MEANS cluster algorithm in data mining,this paper carries on customer credit rating by using existing customer materials,thus realizing the high quality management of customer information,reducing the risk of bank loans.
针对银行业中客户贷款契约违约风险较高的问题,通过把经济学中的特征分析模型与数据挖掘中的K-MEANS聚类算法相结合,利用现有客户资料,对客户资信评级分类,从而实现对客户信息的高质量管理,降低银行对客户贷款的风险。
6)  K-NN cluster
K-NN聚类
补充资料:prototype reactor
分子式:
CAS号:

性质:在建造一座规模大、结构比较复杂的动力堆之前,先建造的一座性能与上述反应堆性能相似但结构简单、规模较小的反应堆。用它进行研究将要建筑的新堆可能会遇到的问题和取得设计、建造和运行经验,以便设计、建造的大堆。

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