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。
This neural network pattern recognition can be applied to feature extraction, clustering analysis, edge detection, signal enhancement and noise suppression, data compression, such as various links.
这样神经网络可应用于模式识别的特征提取、聚类分析、边缘检测、信号增强以及噪声抑制、数据压缩等各个环节。
Our experimental results demonstrate the performance of scene change detection based on shot is better than that of shot clustering based on multi-features.
实验表明，基于镜头的场景边界检测性能优于基于多特征的镜头聚类分析。
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。
Intrusion detection methods based clustering are based on distance difference, but to depend on the similarity measurement of all attributes in the same degree tend to arouse misleading.
基于聚类的入侵检测方法大都是以距离差异为基础的，而同等重要地依赖所有属性的相似性度量会引起误导。
Several major kinds of data mining methods, including characterization, classification, association rule, clustering, outlier detection, pattern matching, data visualization, and so on.
常用的数据挖掘方法包括描述、分类、关联规则、聚类、孤立点检测、模式匹配、数据可视化等。
Clustering analytical means of Data Mining is combined with Intrusion Detection System and an intellectual structure pattern used in Intrusion Detection Syst.
将数据挖掘的聚类分析方法与入侵检测系统相结合，提出了一种入侵检测系统的智能结构模型。
A method for human face detection under complex background is proposed on the basis of human vision mechanism and skin color clustering features.
在人类视觉机制和肤色聚类特性的基础上，提出了一种复杂背景下人脸检测方法。
In this thesis, the author presents the theory of data mining, and deeply analyzes the algorithms of clustering and outliers detection.
本文介绍了数据挖掘理论，对聚类及孤立点检测算法进行了深入地分析研究。
This paper introduces an intrusion detection model based on clustering analysis and realizes an algorithm of K-means which can set up a database of intrusion detection and classify safe levels.
提出了一种基于聚类分析方法构建入侵检测库的模型，实现了按k -平均值方法建立入侵检测库并据此划分安全等级的思想。
Other way is the motion-changed region detection algorithm based on fuzzy entropy clustering in time-differenced image .
第二种方法是基于时差分模糊熵聚类的运动变化区域检测算法。
An kernel clustering intrusion detection approach based on outlier detection is presented in this paper.
提出了一种基于孤立点检测的核聚类入侵检测方法。
A kind of technique for detection of multiple moving objects based on fussy clustering and Kalman filtering was brought forward, and has been applied to vehicle detection and tracking.
提出了一种基于模糊聚类和卡尔曼滤波的多运动目标检测的技术，并将其应用于车辆的检测与跟踪。
In respect to the issue of alarms flooding, which is resulted from multiple detection sensors in terms of intrusions, this article proposes a novel on-line model on alarms clustering and fusion.
针对大量的异构入侵检测传感器产生的警报泛滥问题，提出了一种在线警报聚类融合模型。
Text clustering is an important technology for Topic Detection and Tracking.
文档聚类是实现话题检测与跟踪的重要方法。
Clustering algorithm is an unsupervised machine learning method well applied in intrusion detection.
聚类算法是一种无监督分类方法，能够很好地用于入侵检测。
A new small target detection method for infrared image based on energy accumulation and mean shift clustering is presented.
研究红外图像中弱小目标的检测问题，提出了一种基于能量累积与均值漂移聚类的红外小目标检测方法。
Finally, our system is analyzed and evaluated in a "SYN flood" environment, and a method of applying clustering to anomaly detection is added to improve its performance.
最后，本文对系统模型应用于网络拒绝服务攻击环境的实例进行了分析，并提出了一种应用聚类分析对系统的改进方法。
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。
Experimental results show that intrusion detection of this algorithm has improved to some extent compared to the traditional clustering algorithm.
实验结果表明，该算法相比于传统聚类算法，在入侵检测效果上有一定的提高。
Rough detection uses standards-based matching method to determine the existence of defects, fine detection includes positioning and clustering.
粗检测采用基于标准行的灰度匹配法来判断疵点是否存在，细检测对疵点进行定位和聚类。
And based on the experimental results of multi-dimensional data clustering, anomaly detection matrix is determined through identifying the training sample set and the machine self-learning.
然后根据对多维数据聚类的实验分析结果，通过对样本集的训练进行标识和机器自学习过程来判别异常检测矩阵。
An adaptive color signal spatial clustering technique based on area correlation is used and thus the target detection effect is improved.
使用基于区域关联性的彩色信号自适应空间分集检测技术，提高目标检测效果。
Then introduces spectral clustering algorithm based on deficiencies of variety of traditional clustering algorithms on intrusion detection.
然后分析了各种传统聚类算法在入侵检测中所表现的不足，并引入了谱聚类算法加以解决。
According to the requirement of online public opinion analysis, this paper builds an online public opinion hotspot detection and analysis system based on document clustering.
根据对网络舆情分析的需求，构建出基于聚类的网络舆情热点发现及分析系统。
Research on clustering analysis and outlier detection algorithms has become a highly active topic in the data mining research.
聚类及孤立点检测算法研究已经成为数据挖掘研究领域中非常活跃的一个研究课题。
We propose a complete 3 step solution to construct video scenes based on shots, including: shot boundary detection, shot feature extraction, and shots clustering.
本文提出了一种基于镜头构造视频场景的思路，包括三个环节：镜头边界探测，镜头特征提取和镜头聚类。
The main topics include :1) This article proposes a improved clustering method for shot boundary detection .
文中提出了一种基于改进的聚类方法进行镜头切换检测。
The main topics include :1) This article proposes a improved clustering method for shot boundary detection .
文中提出了一种基于改进的聚类方法进行镜头切换检测。
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