This paper presents a grid - based clustering algorithm for multi - density (GDD).
提出了一种多密度网格聚类算法gdd。
The ant - based clustering algorithm has currently applications in the data mining community.
基于蚁群算法的聚类算法已经在当前的数据挖掘研究中得到应用。
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。
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。
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。
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。
Realize the system based clustering algorithm part of the recommendation on collaborative filtering and evaluate it, at last gives out the result of test with real data and try to explain it.
最后利用实际网站数据对基于聚类的协同过滤推荐系统的聚类算法进行了实现，给出了系统试验结果，并对结果做出解释和评价。
The clustering algorithm takes a data set and sorts them into groups, so you can make conclusions based on what trends you see within these groups.
群集算法是对一个数据集中的数据进行分组，以便您可以基于在这些组中看到的趋势得出结论。
VQ Model Based on Clustering Validity Analysis: it's the flaw for the codebook training algorithm that the size of codebook is choosed artificially.
基于聚类有效性分析的VQ模型：VQ模型电码本的训练算法有一个弱点：电码本大小是人为指定的。
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。
This paper aims at outlier mining, and proposes an algorithm of outlier mining called AOMGC based on grid clustering techniques, with the existing algorithm of LOF.
针对离群点的挖掘，在现有的LOF算法的基础上，提出了一种基于网格聚类技术的离群点挖掘算法AOMGC。
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。
For the inconsistency problem of heterogeneous sensors' measurement Spaces, a new data association (da) algorithm based on fuzzy clustering algorithm is presented.
针对异类传感器观测空间不一致的问题，提出了基于模糊聚类的异类多传感器数据关联算法。
This paper provides a model of the clustering and an optimized ant colony-clustering algorithm which is based on the swarm intelligence and that mathematic model is provided at the same time.
该文通过对现有群体智能理论和聚类算法的研究，提出了一种基于群体智能理论的聚类模型，并在此基础上给出了一种优化蚁群聚类算法。
Based on the analysis of the core concepts of the kernel methods, a clustering algorithm based on kernel methods was put forward.
在分析核方法的核心概念基础上，提出了一种基于核方法的聚类算法。
Experiments show that the clustering system based on this algorithm can depose millions of abnormal short texts per hour with high accuracy.
实验表明，基于该算法的聚类系统对于大量的变异短文本处理速度可以达到每小时百万级以上，并且有比较高的准确率。
Next, based on the analysis of deficiency of BIRCH algorithm, we propose a new clustering algorithm based on sampling.
随后，在分析BIRCH算法不足的基础上，提出了一种基于抽样的聚类算法。
A clustering algorithm based on density and partitioning method is presented according to the analysis of the strengths and weaknesses of traditional clustering algorithms.
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 function for measuring clustering validity based on the fuzzy clustering algorithm is defined with which the number of fuzzy rules can be determined.
在模糊聚类算法的基础上，提出了一个衡量聚类有效性的函数，以确定模糊规则的数目。
Based on the criterion a clustering algorithm named CACSS has been designed.
依据该评价方法，设计了面状地理实体聚类算法CACSS。
An improved color segmentation algorithm is presented based on weighting fuzzy c-means (FCM) clustering algorithm.
在加权模糊c -均值(FCM)聚类算法的基础上，对分色算法进行了改进。
A more advanced strategy is proposed based on the hierarchy clustering routing algorithm.
对层次性簇聚路由算法，提出了一种优化策略。
In order to improve the efficiency we propose a distributed clustering algorithm based on large data sets.
为了提高聚类效率提出了一种基于分布式的大数据集聚类算法。
A method of track association based on ISODATA algorithm for clustering analysis is put forward according to the features of multi sensor multi target track association.
针对多传感器多目标航迹关联的特点，提出了将基于聚类分析的ISODATA算法应用于航迹关联的解决方法。
The paper presents an ant colony clustering algorithm based on directional similarity: ACCADS.
提出了一种基于方向相似性度量的蚁群聚类算法。
A novel clustering algorithm based on Bayesian model was introduced into the analysis of large-scale gene expression profiles.
在大规模基因表达谱的数据分析中引入了一种全新的基于贝叶斯模型的聚类算法。
A fault alarms correlation rule analysis model based on sequence clustering algorithm is designed.
设计了基于序列聚类算法的故障告警关联规则分析模型。
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。
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。
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