The algorithm first makes a top-down coarse location using the projection analysis of the edge density graph and then makes a bottom-up precise location based on the vertical edge linkage intensity.
该算法首先通过对边缘密度图进行投影分析进行自顶向下的粗定位，然后在此基础上利用垂直边缘的连接强度进行自底向上的精确定位。
On the basis of analysis and research of traditional clustering algorithms, a clustering algorithm based on density and adaptive density-reachable is presented in this paper.
在分析与研究现有聚类算法的基础上，提出了一种基于密度和自适应密度可达的改进算法。
The Out-lier algorithm based on density and attribution classical discrepant data protocol algorithm based on rough set theory were presented.
提出了一种基于密度的孤立点因子算法和一种基于粗集理论的属性类别差异数据归约算法。
A new fast algorithm was presented to accelerate the computation of mutual information of images based on kernel density estimate.
针对基于核密度估计的图像互信息估计法运算量很大的问题，提出了一种快速互信息估计算法。
This paper proposes a mesh simplification algorithm based on vertex's curvature, which use edge collapse method to reduce the density of low-curvature region of meshes.
本文提出的网格简化算法是根据网格顶点的曲率，采用边折叠的方式来减少低频区域的网格顶点密度。
The reservoir density prediction technique is a non-linear seismic prediction approach based on improved hybrid intelligent learning algorithm.
储层密度预测技术是一种基于改进的混合智能学习算法的地震非线性预测方法。
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 clustering algorithm based on density and partitioning method is presented according to the analysis of the strengths and weaknesses of traditional clustering algorithms.
在分析常用聚类算法的特点和适应性基础上提出一种基于密度与划分方法的聚类算法。
In preprocess stage, based on analysis of many normalization algorithm, the author propose a novel non-linear normalization method, which is the combination of point-density and line-density method.
在预处理环节，通过对各种归一化算法进行分析，确定了一种基于点密度和线密度相结合的非线性归一化方法。
On the basis of the analysis and research of traditional clustering algorithms, a clustering algorithm based on density and adaptive density-reachable is presented.
在分析与研究现有聚类算法的基础上，提出一种基于密度和自适应密度可达的改进算法。
To improve the decoding performance of Low Density Parity Check (LDPC) code, an efficient decoding algorithm based on min-sum algorithm is proposed.
针对低密度奇偶校验(LDPC)译码算法性能低的问题，提出一种基于最小和的高效译码算法。
In order to improve the training efficiency, an advanced Fuzzy Support Vector Machine (FSVM) algorithm based on the density clustering (DBSCAN) is proposed.
为了提高模糊支持向量机在数据集上的训练效率，提出一种改进的基于密度聚类(DBSCAN)的模糊支持向量机算法。
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。
On the basis of immune algorithm, the authors propose a new method of text categorization called clonal selection algorithm based on antibody density.
借鉴了免疫系统的分类本质以及免疫系统的克隆选择和抗体浓度控制原理，提出了基于抗体浓度的克隆选择算法。
Through specific study of the characteristic of scanned project graph, a de-noise algorithm based on the pixels density is proposed.
通过仔细研究工程扫描图象的特征，提出一种基于密度划分的去噪算法。
For this object, a method of determining fuzzy integral density with membership matrix is proposed, and the classifier ensemble algorithm based on fuzzy integral is introduced.
给出了基于隶属度矩阵的模糊积分密度确定方法，介绍了基于模糊积分的分类器集成算法。
In this paper, a fast density based clustering algorithm is developed, which considerably speeds up the original DBSCAN algorithm.
迄今为止人们提出了许多用于大规模数据库的聚类算法。基于密度的聚类算法DBSCAN就是一个典型代表。
The way of background modeling based on non-parametric kernel density algorithm has better results than other algorithm, and could model background for slow movement.
与传统的背景建模方法相比，基于非参数核密度的背景建模方法具有更好的建模效果，更适应复杂场景的建模。
After discussing the concepts, techniques and algorithms about clustering, a grid and density based cluster algorithm was proposed.
讨论数据挖掘中聚类的相关概念、技术和算法。
Mean shift based image segmentation algorithm is a kind of kernel density estimation based feature space analysis algorithm, and the nature of it is statistical optimization.
均值漂移算法是一种基于核密度梯度估计的特征空间分析算法，其实质是一种统计优化过程。
To solve the problem, a fuzzy clustering based on predator prey PSO algorithm is presented, which is using density function to initialize cluster centre.
为解决此问题，提出一种基于捕食-被捕食的粒子群优化模糊聚类算法且聚类中心采用密度函数初始化。
With bi-partitioning strategy, by maximizing the module density, an algorithm is proposed based on discrete quantum particle swarm optimization for complex network community detection.
采用二分策略，通过最大化模块密度，提出了基于离散量子粒子群优化进行复杂网络社区检测的算法。
Then the incident detection algorithm of urban expressway based on the proposed segment density difference model is proposed, and the logic determining incidents procedure is also provided.
随后在此公式基础上提出基于路段密度差模型的快速路异常事件检测算法，设计了异常事件判断的逻辑流程。
This algorithm has all the merits of the existed density-based clustering algorithm and can deal with the date effectively.
该算法既保持了一般基于密度算法的优点，也能有效地处理分布不均匀的数据。
The paper mainly discusses a clustering algorithm based on density and grid in data mining, which has high clustering efficiency and low time complexity.
该文主要讨论数据挖掘中一种基于密度和网格的聚类分析算法及其在客户关系管理中的应用。
A two stage belief-propagation(TSBP)decoding algorithm was developed based on trapping set state(TSS)detection to reduce the error floor of low-density parity-check(LDPC)codes.
为了降低低密度奇偶检验码的误码平底，提出一种基于陷阱集状态检测的两级置信度传播译码算法。
To overcome the shortcomings of the GCOD, a high-dimensional clustering algorithm for data mining, the paper proposes an intersected grid clustering algorithm based on density estimation (IGCOD).
针对高维聚类算法——相交网格划分算法GCOD存在的缺陷，提出了基于密度度量的相交网格划分聚类算法IGCOD。
Meanwhile, 2 kinds of distance-based algorithms are implemented: DKP neighbor algorithm and LOF density algorithm both are vital for the rest of the paper.
其次本文实现了异常点挖掘最常用的两类基于距离的算法：DKP最近邻算法和基于LOF密度的算法。
Meanwhile, 2 kinds of distance-based algorithms are implemented: DKP neighbor algorithm and LOF density algorithm both are vital for the rest of the paper.
其次本文实现了异常点挖掘最常用的两类基于距离的算法：DKP最近邻算法和基于LOF密度的算法。
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