A fast clustering algorithm with adaptive density based on homogeneous grid is proposed.
提出了一种基于均匀网格的自适应密度快速聚类新算法。
DBSCAN algorithm is an outstanding representative of density based on clustering algorithms.
DBSCAN是基于密度的聚类算法的一个典型代表。
A variable density based topology optimization method was applied to the light-weight design of engine block.
将变密度拓扑优化方法应用于发动机气缸体轻量化设计中。
A long-term forecast method of timber growth ring density based on process neural network was proposed in this paper.
提出一种基于过程神经网络的木材生长轮密度长期预测方法。
This article made a scientific research on the apparatus measuring the electrolyte density based on the principle of syntony.
研究了基于谐振原理的振动管式电解液密度测量装置。
DBSCAN is a density based clustering algorithm that can efficiently discover clusters of arbitrary shape and can effectively handle noise.
DBSCAN是一种基于密度的空间聚类算法，在处理空间数据时具有快速、有效处理噪声点和发现任意形状的聚类等优点。
With strong ability of discovery of arbitrary shape clusters and handling noise, density based clustering is one of primary methods for data mining.
基于密度的聚类算法因其抗噪声能力强和能发现任意形状的簇等优点，在聚类分析中被广泛采用。
A novel method named equivalent current density based on finite element method was developed for parametric variation problem of signal transmission caused by the external environment.
针对电信号的有效传输受外界环境引起自身参数变化的问题，提出了一种基于有限元方法求取传输参数的等效电流密度法。
Experimental results show that the new algorithm has better performance than Density Based Spatial Clustering of Applications with Noise (DBSCAN).
实验结果表明，新算法较基于密度的带噪声数据应用的空间聚类方法(DBSCAN)具有更好的聚类性能。
A new heuristic density-based ant colony clustering algorithm (HDACC) is presented.
提出一种基于密度的启发性群体智能聚类算法。
According to the characteristics of gene expression data, a high accurate density-based clustering algorithm called DENGENE was proposed.
根据基因表达数据的特点，提出一种高精度的基于密度的聚类算法DENGENE。
After analysing manifold color clustering methods, we present two unsupervised methods based on 2-d chroma plane, i. e, the density-based triangulation method and the GA-based optimization method.
在分析了多种颜色聚类方法的基础上，提出了2种无监督的二维色度平面颜色聚类方法：基于密度的三角化方法和遗传算法优化方法，并通过实验对2种方法进行了比对分析。
And then in MTM system, we get region color features from the proposed color density-based clustering.
然后在MTM系统中，利用颜色密度聚类的方法得到区域颜色的特征。
And the methods can be divided into portioning method, hierarchical method, density-based method, grid-based method and model-based method.
现有的聚类分析算法可划分为：划分方法、层次的方法、基于密度的方法、基于网格的方法和基于模型的方法。
And the methods can be divided into portioning method, hierarchical method, density-based method, grid-based method and model-based method.
现有的聚类分析算法可划分为：划分方法、层次的方法、基于密度的方法、基于网格的方法和基于模型的方法。
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