InfoSphere Warehouse USES a particularly powerful method for deviation detection that is based on data clustering.
InfoSphereWarehouse使用一种特别强大的方法来进行偏差检测，这种方法基于数据集群。
More concretely, you will implement and analyze a method for clustering words based on their distributional properties.
具体来说，你要实现和分析一个基于单词分布性质的单词聚类方法。
At the license plate location phase, we propose a new rough localization method which based on connected area horizontal clustering.
在车牌定位阶段，本文提出了基于连通区域水平聚类的车牌粗定位方法。
An efficient segmentation method based upon fuzzy c-means (FCM) clustering principles is proposed. The approach utilizes a pyramid data structure for the hierarchical ana - lysis of color images.
这里提出了一种高效的基于模糊c均值(FCM)聚类的彩色图像分割方法，它利用塔形数据结构对彩色图像进行多层分割。
An image annotation method based on mutual information and constrained clustering is proposed.
提出一种基于互信息约束聚类的图像标注算法。
Based on concept space and text clustering technique as well as traditional keyword searching method, it could help users to locate the information they need quickly and precisely.
这种检索方法在文本聚类的基础上，基于概念空间并与传统的关键词检索相结合能够帮助用户快速、准确地定位所需要查找的信息。
This paper proposes a method based on quantum measurement for spherical shell clustering.
提出一种基于量子测量的球壳聚类方法。
A clustering-based and supervised intrusion detection method was proposed with new distance definition for mixed-attribute data and improved nearest neighbor classification method.
基于一种用于混合属性数据的距离定义和改进的最近邻分类方法，提出了一种基于聚类的有指导的入侵检测方法。
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。
The author validates the customer behavior analysis method based on clustering by empirical work with a part of real data.
本文提出了运用聚类技术分析客户特征信息的方法，并用真实数据做了实证分析。
A new grid clustering method based on the random sampling is proposed in the dissertation.
提出一种新的基于随机抽样的网格聚类算法。
A cluster validity function-based method is proposed for solving the problem of clustering for area geographical entities when the number of cluster is unknown.
为解决聚类数未知条件下面状地理实体的聚类问题，文中提出了一种基于聚类有效性函数的聚类方法。
In this paper, based on the Grey System Theory, the principle and method of Grey Clustering Analysis is introduced, and is also used to classify the flood disaster degree of Xinjiang "96. 7" floods.
基于灰色系统理论，阐述了灰色聚类分析的基本原理和步骤，并结合新疆“96．7”特大暴雨洪水典型地州市灾害等级划分的实例，对其进行了应用分析。
A new coin identification method based on ant colony algorithm with clustering characteristics is proposed in this paper.
利用蚁群算法的聚类能力，提出一种硬币识别新方法。
Here we use a method of clustering analysis based on the fuzzy equivalent relation.
我们这里采用的是基于模糊等价关系的聚类分析方法。
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。
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。
Inspired by the nonnegative matrix factorization algorithm, we put forward an fuzzy text clustering method based on nonnegative factor analysis.
本文借助于非负矩阵分解算法，提出了一种基于非负因子分析的模糊文本聚类方法。
A kind of personalized search method based on classification and clustering technology is introduced in this paper.
由此提出一种基于分类和聚类相结合的个性化信息检索方法。
A stochastic clustering method based on pairwise similarity of elements was utilized to cluster feature space.
利用基于元素间相似性的随机聚类方法对特征空间进行聚类。
Based on inherent properties of data sets, a method with hierarchical clustering is being proposed for the detection of anomalous data.
从数据自身的性质出发，提出了一种应用谱系图进行异常数据检测的方法。
According to the characteristics of the related texts, this paper presents a sentence clustering method based on multi-features for getting profile information of the event.
本文利用事件相关文档的特点，提出了基于多特征的句子聚类方法，以期获得事件的各个侧面信息。
A novel multi-context text fuzzy clustering method and its model based on formal concept analysis and concept similarity is proposed.
基于形式概念分析和概念相似度，给出一种新的多背景文本模糊聚类方法和模型。
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。
Based on classify criterion matrix, single-valued whitenization weight function and reliability code, grey attribute recognition clustering method is put forward.
运用分类标准矩阵、单指标白化权函数和置信度原则，提出了基于属性识别的灰色聚类方法。
Inspired by the clone selection principle and memory mechanism of the vertebrate immune system, a new hybrid clustering method based on the artificial immune theory is presented.
通过借鉴生物免疫系统中的克隆选择原理和记忆机制，提出了一种基于人工免疫原理的混合聚类算法。
A method based on fuzzy C-mean clustering and image matching algorithms are proposed to detect atomization Angle and uniformity, applied to performance test-bed of engine nozzle.
提出了基于模糊C均值聚类和图像匹配，检测喷雾锥角和喷雾不均匀度的方法，并应用于发动机喷嘴性能检测。
A method based on fuzzy C-mean clustering and image matching algorithms are proposed to detect atomization Angle and uniformity, applied to performance test-bed of engine nozzle.
提出了基于模糊C均值聚类和图像匹配，检测喷雾锥角和喷雾不均匀度的方法，并应用于发动机喷嘴性能检测。
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