1) data clustering
![点击朗读](/dictall/images/read.gif)
数据群聚
2) outliers
![点击朗读](/dictall/images/read.gif)
离群数据
1.
A recognition method of celestial spectra outliers based on concept lattice is proposed by regarding the intension of the concept lattice nodes as characteristic subspace of the celestial spectra.
在宇宙中,寻求特殊的、未知的天体是人类探索宇宙奥妙所追求的目标之一,天体光谱离群数据识别方法是实现该目标的有效手段之一。
2.
The data dimension reduction is the main method that can enhance the outliers mining efficiency based on higher-dimension data set.
为了提高高维数据集合离群数据挖掘效率,在分析了传统的离群数据挖掘算法优点和缺点的基础上,提出了一种离群点检测算法,首先将非线性问题转化为高维特征空间中的线性问题,然后利用非线性数据变换进行维数约减,对所得数据对象每个投影分量逐个判断数据点是否是离群点,通过实验证明该算法不仅可用于线性可分数据集的离群点检测,而且可用于线性不可分数据集的离群点检测,表明了算法的优越性。
3.
General clustering approaches,such as distance-based and statistics-based,are not adapted to classification of outliers because of their characteristic of fewness data and sparseness.
离群数据是数据中的小模式,因其固有的少数据与稀疏性等特征,使得基于距离或基于统计等常规聚类方式不适用于对离群数据的分类。
3) Outlier data
![点击朗读](/dictall/images/read.gif)
离群数据
1.
In the article described the stray data mining elementary theory as well as the classical algorithm,and according to the characteristics of data in the past dozens years,they made a theory that the use of outlier data mining models to predict diseases and insect pests.
描述了离群数据挖掘的基本理论以及经典算法,提出附加约束的基于规则的离群数据挖掘算法,并根据过去几十年数据的特点,提出了一种运用离群数据挖掘进行病虫害预测的模型。
4) outlier
[英]['aut,laiə] [美]['aʊt,laɪɚ]
![点击朗读](/dictall/images/read.gif)
离群数据
1.
An improved density-based outlier mining algorithm;
![点击朗读](/dictall/images/read.gif)
一种改进的基于密度的离群数据挖掘算法
2.
Algorithm of finding Outlier for reclustering based on distance;
![点击朗读](/dictall/images/read.gif)
一种基于距离的再聚类的离群数据发现算法
5) group-transmission
![点击朗读](/dictall/images/read.gif)
数据群发
1.
the paper proposed a TCP-based group-transmission scheme suitable for multi-subnet and multilayer networks.
本文介绍了一种基于TCP协议的数据群发方案,该方案适用跨网段多层交换网络中的数据传输,需接收数据的机器只要都通过交换机连接,能用IP地址唯一标识即可。
6) clustering coefficient
![点击朗读](/dictall/images/read.gif)
群聚系数
1.
The authors have analyzed statistical parameters including path-length,clustering coefficient and degree distribution of public transport networks in 5 Chinese cities.
运用复杂网络的研究方法对我国5个大城市的公交网络结构进行实证分析,统计了路长、群聚系数、度分布等物理量。
2.
The study is assisted by matlab software in order to get topology and some static state geometry quantities such as degree distribution,clustering coefficient,average path length and so on.
以Matlab软件为辅助工具,得出上海市公交网络的拓扑结构,和一些静态几何量及其统计性质,如度分布、群聚系数、平均路径长度及介数等。
3.
This paper,from the quantitative perspective,firstly puts up with the basic procedure of the establishment of social network model in CI study and secondly,probes into how to use three fundamental index:distribution dense,clustering coefficient,network diameter analyzes the social network.
本文从定量角度出发,首先分析了竞争情报工作者建立人际网络研究模型的基本过程;接着研究了如何利用网络三大结构特征指标即网络分布密度、网络群聚系数、网络直径对人际网络进行有效分析,从而提高竞争情报工作质量,改善竞争情报工作者在网络中的地位。
补充资料:数据通信网(见数据通信)
数据通信网(见数据通信)
data communication network
shu)u tongxinwang数据通信网(datac。mmunicati。nne饰ork)见数据通信。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条