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cohesive-energy density

基本解释聚能密度

网络释义

1)cohesive-energy density,聚能密度2)cohesive energy density,内聚能密度3)cohesive energy density parameter,内聚能密度参数4)packing density,聚集密度5)cluster density,聚类密度6)density clustering,密度聚类

用法和例句

Results show that the cohesive energy density,crystallinity and glass transition are heightened with the viscosity and viscosity average molecular weight decreasing.

测定了热压光前后纸基芳纶纤维的内聚能密度、结晶度大小、粘度及粘均相对分子质量,研究了芳纶纸基纤维玻璃化温度与内聚能密度及结晶度的关系。

The effect of packing density of the layer on stress .

提出了薄膜聚集密度是应力的重要因素,低聚集密度产生张应力,而高聚集密度产生压应力。

The formula for estimating the packing density of the films was put forward in terms of the measured spectral shift; and the packing density of MgF_2 layers in the filters was calcul.

计算了滤光片中MgF2膜层的聚集密度,离子辅助沉积使MgF2膜的聚集密度从常规条件下的0。

One of the drawbacks of the SOFM is that the user must select the map size in advance,especially the time-consuming search for the best matching unit in large maps,A new Growing Tree-Structured Self-Organizing Maps(GTS-SOFM) is proposed and the specific algorithm to implement clustering is given,by using cluster density to Measure Cluster Quality.

针对传统Kohonen自组织特征映射(SOFM)神经网络模型结构需要预选指定的限制,特别在大的映射网络中寻找最佳匹配结点是很耗时的问题,我们采用一种新的动态增长树型自组织特征神经网络(GTS-SOFM),给出了实现聚类的具体算法,并且使用聚类密度来衡量聚类效果。

DCMIS:Density Clustering-based Application to Medical Image Segmentation;

基于密度聚类的医学图像分割DCMIS

To solve the problem that support vector machine(SVM) can only classify the small samples set,a new algorithm which applied SVM to density clustering is proposed.

为了解决支持向量机的分类仅应用于较小样本集的问题,提出了一种密度聚类与支持向量机相结合的分类算法。

Algorithms based on density clustering,which has the better effect to the spatial database,is one of the most important techniques in clustering analysis.

提出了一种带有矢量性的密度聚类算法,具有约束聚类方向,减少候选点的特点。

Clustering algorithm for multi-density based on grid relative density

基于网格相对密度的多密度聚类算法

Research on Improvement to Partitioning Clustering Algorithm and Density-based Clustering Algorithm;

划分聚类与基于密度聚类算法的改进方法研究

SA-DBSCAN:A self-adaptive density-based clustering algorithm

SA-DBSCAN:一种自适应基于密度聚类算法

Effective Ranking Algorithm Based on Density

一种有效的基于密度聚类的排序算法

Density-based privacy preserving distributed clustering algorithm

一种分布式隐私保护的密度聚类算法

Research on density clustering algorithm of mixed attributes based on dimension distance

基于维度距离的混合属性密度聚类算法研究

Research and Application of Density Clustering Algorithm Based on Data Partition;

基于数据分区的密度聚类算法应用研究

Algorithm Study on Non-Parametric Kernel Density Clustering and Feature Extraction

非参数核密度聚类与特征提取算法研究

Clustering algorithm based on Delaunay triangulation density metric

基于Delaunay三角剖分密度度量的聚类算法

A Cell Density-Enabled Schema for Initializing Cluster Centers

融合网格密度的聚类中心初始化方案

Research on Varying-Density Spatial Clustering in High-Dimensional Data;

面向高维数据的变密度空间聚类研究

An Incremental Grid Density - Based Clustering Algorithm;

一种基于密度的增量式网格聚类算法

XML Documents Clustering Based on Density Method

基于密度方法的XML文档聚类研究

A fast clustering algorithm based on grid and density condensation point

一种基于网格和密度凝聚点的快速聚类算法

A Method for Reducing the Amount of Training Samples in KNN Text Classification Based on Clustering and Density

基于聚类和密度的KNN分类器训练样本约减方法

An Enhancement Algorithm of Cluster Boundaries Precision Based on Grid's Density Direction

基于网格密度方向的聚类簇边缘精度加强算法

Application of Density-sensitive Distance Measure in Special Image Clustering

密度敏感的距离测度在特定图像聚类中的应用

Research on Data Stream Clustering Based on Grid and Density;

基于网格和密度的数据流聚类方法研究

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