聚类算法是数据挖掘的核心技术。
平均算法是经典的聚类算法。
提出了一种多密度网格聚类算法gdd。
This paper presents a grid - based clustering algorithm for multi - density (GDD).
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.
提出一种新的基于随机抽样的网格聚类算法。
A new grid clustering method based on the random sampling is proposed in the dissertation.
聚类算法是数据挖掘领域中非常重要的技术。
Cluster arithmetic is a very important technology in the area of data mining.
聚类算法是数据挖掘算法中的重要解决方法。
Clustering algorithm is an important one in data mining methods.
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.
在特征分类算法中，本文选择简单的聚类算法。
And we choose simple Cluster algorithm for the classification.
其次，把图像颜色空间聚类算法推广到广义图像；
Secondly, the algorithm of color cluster is extended to generalized image.
BIRCH算法是针对大规模数据集的聚类算法。
BIRCH algorithm is a clustering algorithm for very large datasets.
目前已有一些聚类算法应用于银行客户细分的实验。
Currently, there are some applications of clustering algorithms in customer segmentation of bank for experiments.
本文给出了模糊聚类算法在图像分割中的应用结果。
In this paper, the application of suppressed fuzzy clustering algorithm in image segmentation is introduced.
设计了基于序列聚类算法的故障告警关联规则分析模型。
A fault alarms correlation rule analysis model based on sequence clustering algorithm is designed.
模糊c均值算法(FCM)是经常使用的聚类算法之一。
The fuzzy c-means algorithm (FCM) is one of widely used clustering algorithms.
所以，本文就如何提高聚类算法的聚类准确性进行了研究。
So this paper will discuss that how to enhance the clustering algorithms' accuracy.
对基于聚类的协同过滤推荐系统的聚类算法进行了实现和评价。
Realize the clustering algorithm part of the recommendation system based on collaborative filtering and evaluate it.
该文提出了一种粗糙谱聚类算法，并将其应用于文本数据挖掘。
This paper proposes a rough spectral clustering algorithm and apply the algorithm on text data mining.
通过研究核映射机理，提出了用于聚类分析的高斯核聚类算法。
An algorithm of Gaussian kernel clustering is proposed by analyzing kernel mapping theory.
然后，对传统的矩阵聚类算法进行优化，改进为权值矩阵聚类算法。
Then, for tradition matrix clustering algorithm carries on the optimization, improved as weight matrix cluster algorithm.
针对现有基因投影聚类算法的不足，提出一种有效的基因投影聚类算法。
To address the deficiencies of most existing gene clustering algorithms, a novel gene projected clustering algorithm is proposed.
分析了现有FCM聚类算法存在的问题，提出了一种改进的FCM聚类算法。
After analyzing the problems with present FCM clustering algorithm, an improved version of FCM clustering algorithm is proposed in this paper.
顺序聚类算法是一种非常直接和快速的算法，并且不需要提前确定聚类个数。
Sequential algorithm is a straightforward cluster algorithm, and people do not have to provide the number of clusters in advance.
对已有算法进行改进，提出了一种加权的星型聚类算法以学习用户的兴趣特征。
Based on some traditional algorithms, this thesis provides a weighted star cluster algorithm to learn user profile.
另一方面则利用了分级聚类算法准确度高为确定初始聚类中心提供了可靠的方法。
On the other hand, this strategy imposes that layered clustering methods have high nicety and provide suitable initial clustering centers.
本文提出了一种新的有效的场景聚类算法，无需先验知识，自动决定算法停止点。
This thesis proposes a new effective scene clustering method which can automatically decide the stop point without prior knowledge.
本文提出了一种新的有效的场景聚类算法，无需先验知识，自动决定算法停止点。
This thesis proposes a new effective scene clustering method which can automatically decide the stop point without prior knowledge.
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