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。
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.
提出一种基于密度的启发性群体智能聚类算法。
A new heuristic density-based ant colony clustering algorithm (HDACC) is 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。
The Out-lier algorithm based on density and attribution classical discrepant data protocol algorithm based on rough set theory were presented.
该文根据自相关函数与谱密度函数之间的对应关系，提出了一种新的基于自相关函数的决策树归纳学习算法。
According to the relationship between auto correlation function and its spectral density, a new type of decision tree method based on signal analysis theory is proposed in this paper.
本文针对这种情况，提出了一种不用经过精细分割，而是基于边缘密度计算紧凑颗粒平均尺寸的算法。
Direct against this kind of situation, the paper presents a method to estimate average size of closely packed particles based on edge density without explicit segmentation.
这种方法使用了基于密度的孤立点挖掘的主要思想，用克隆选择算法进行数据立方体搜索。
It is a dense-based method and the low-dense data cubes are searched by clonal selection algorithm.
提出了一种基于均匀网格的自适应密度快速聚类新算法。
A fast clustering algorithm with adaptive density based on homogeneous grid is proposed.
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。
The reservoir density prediction technique is a non-linear seismic prediction approach based on improved hybrid intelligent learning algorithm.
DBSCAN是一个基于密度的聚类算法。
提出了一种基于密度网格的数据流聚类算法。
This paper introduced a density grid-based data stream clustering algorithm.
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。
In order to improve the training efficiency, an advanced Fuzzy Support Vector Machine (FSVM) algorithm based on the density clustering (DBSCAN) is proposed.
推导了基于NASA标准解体模型的碎片分离速度概率密度函数，建立了计算航天器与单颗碎片碰撞概率的时间积分算法。
Space debris delta-velocity probability density function was deduced by NASA's standard breakup model, and time integral algorithm of collision probability between spacecraft and any debris was built.
基于网格的多密度聚类算法不仅能够对数据集进行正确的聚类，同时还能有效的进行孤立点检测，有效的解决了传统多密度聚类算法中不能有效识别孤立点和噪声的缺陷。
GDD algorithm can not only clusters correctly but find outliers in the dataset, and it effectively solves the problem that traditional grid algorithms can cluster only or find outliers only.
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。
On the basis of the analysis and research of traditional clustering algorithms, a clustering algorithm based on density and adaptive density-reachable is presented.
在目标识别级重点讨论了基于D - S证据理论的目标识别融合，通过性能分析可知该算法具有不需要先验概率和条件概率密度等优点。
In object identification level object identification fusion based on D-S proof theory was discussed, performance analyzing is found that the arithmetic did not need probability distribution.
针对分布式数据流环境，提出基于核密度估计的分布数据流离群点检测算法。
This paper presents an algorithm for outlier detection in distributed data streams.
论文针对KNN这种常用的文本分类方法，分析了什么是它的典型样本，提出了一种基于密度的样本选择算法。
In the paper, what is the typical sample of KNN is analyzed, and a method of samples selection based density is presented.
基于数学分析中著名的不动点原理，对于低密度纠删码本文证明了其删除错误译码算法稳定收敛的一充分条件。
Based on the known principle of fixed points in mathematical analysis, a sufficient convergence condition of erasure decoding algorithm for erasure codes is shown.
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。
Experimental results show that the new algorithm has better performance than Density Based Spatial Clustering of Applications with Noise (DBSCAN).
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。
With strong ability of discovery of arbitrary shape clusters and handling noise, density based clustering is one of primary methods for data mining.
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.
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。
A new fast algorithm was presented to accelerate the computation of mutual information of images based on kernel density estimate.
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。
To improve the decoding performance of Low Density Parity Check (LDPC) code, an efficient decoding algorithm based on min-sum algorithm is proposed.
DBSCAN是基于密度的聚类算法的一个典型代表。
DBSCAN algorithm is an outstanding representative of density based on clustering algorithms.
提出了一种基于曲面局平特性的，以散乱点集及其密度指标作为输入，以三角形分片线性曲面作为输出的拓扑重建算法。
An algorithm for topology reconstruction is promoted that takes as input an unorganized set of points with known density and carries out as output simplicial surfaces.
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。
A clustering algorithm based on density and partitioning method is presented according to the analysis of the strengths and weaknesses of traditional clustering algorithms.
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。
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.
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。
Through specific study of the characteristic of scanned project graph, a de-noise algorithm based on the pixels density is 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。
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。
According to the characteristics of gene expression data, a high accurate density-based clustering algorithm called DENGENE was proposed.
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