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。
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。
Combined with semantic similarity of text data, this paper gives a method of text data clustering based on semantic density.
结合文本数据的语义相似度，给出一种基于语义密度文本数据聚类的方法。
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。
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。
Gaussian Mixture Density Modelling and Decomposition (GMDD) is a hierarchical clustering method based on robust statistical theory.
高斯混合密度降解模型(GMDD)是一种基于稳健统计理论的层次聚类方法。
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。
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。
DBSCAN is a spatial clustering algorithm based on density.
DBSCAN是一个基于密度的聚类算法。
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。
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。
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。
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。
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。
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