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聚类分析技术有着广泛应用.因为在对图像进行聚类分析时,通常缺少可资利用的先验知识,所以需要采用无监督的聚类算法.为了适应图像检索的需要,提出了一种新型的无监督聚类方法,即根据离群点信息来自动确定聚类算法的终止时机.此方法还弥补了现有聚类算法在离群点识别、使用上的缺欠.为验证其可行性,用其改进了CURE和ROCK两个经典算法.实验表明,改进后的两个算法都能自动终止,并能取得优于以往的聚类效果. -clustering analysis techniques have wide applicatio
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一个用于聚类的工具箱，内有主元分析、模糊等技术的Matlab源代码和应用实例程序Demo。-One for clustering toolbox, with principal component analysis, fuzzy techniques, such as Matlab source code and application procedures for Demo.
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Many of the pattern fi nding algorithms such as decision tree, classifi cation rules and clustering
techniques that are frequently used in data mining have been developed in machine learning
research community. Frequent pattern and asso
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state of art language modeling methods:
An Empirical Study of Smoothing Techniques for Language Modeling.pdf
BLEU, a Method for Automatic Evaluation of Machine Translation.pdf
Class-based n-gram models of natural language.pdf
Distributed Lang
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6中AI算法，包括路径规划与移动技术、有限状态机，脚本技术，群聚技术，遗传算法，神经网络，每个算法中都有例子程序。-6 AI algorithms, including path planning and mobile technology, finite state machines, scr ipting technologies, clustering techniques, genetic algorithms, neural networks, each algorithm, ther
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支持向量机一个很好的，较新的一个进行分析分析的软件-Recent advances in experimental methods have resulted in the generation of enormous volumes of data across the life sciences. Hence clustering and classification techniques that were once predominantly the domain of ecologis
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Describes clustering techniques in WEKA
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This file implement lpp algorithm for dimension reduction and clustering techniques.
Dimension reduction, Clustering.
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This file implement Gda algorithm for dimension reduction and clustering techniques.
Dimension reduction, Clustering.
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This file implement Lda algorithm for dimension reduction and clustering techniques.
Dimension reduction, Clustering.
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This file implement PCA algorithm for dimension reduction and clustering techniques.
Principle Component Analysis, Dimension reduction, Clustering.
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Content-based medical image retrieval is now getting more and more attention in the
world, a feasible and efficient retrieving algorithm for clinical endoscopic images is urgently
required. Methods: Based on the study of single feature image retr
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paper on clusters having comparison between clustering techniques
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Web图像检索中并行聚类技术研究,写得非常详细-Web Image Retrieval parallel clustering techniques
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AI算法,包括路径规划与移动技术.有限状态机,脚本技术,群聚技术,遗传算法,神经网络-AI algorithms, including path planning and mobile technology. Finite state machines, scr ipting technologies, clustering techniques, genetic algorithms, neural networks
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In multivariate statistics and the clustering of data, spectral clustering[1] techniques make use of the spectrum (eigenvalues) of the similarity matrix of the data to perform dimensionality reduction before clustering in fewer dimensions. The simila
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k均值聚类方法。 在给定一个有n个对象的数据集，划分聚类技术将构造数据进行k个划分，每一个划分代表一个簇，k小于等于n。-k-means clustering method. Given a set of n objects data, dividing the data clustering techniques to construct k partitions, each partition represents a cluster, k less than or equal n.
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Accuracy and Rand Index measurement of clustering techniques
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segmentation of images using clustering techniques
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聚类分析指将物理或抽象对象的集合分组为由类似的对象组成的多个类的分析过程。它是一种重要的人类行为。
聚类分析的目标就是在相似的基础上收集数据来分类。聚类源于很多领域，包括数学，计算机科学，统计学，生物学和经济学。在不同的应用领域，很多聚类技术都得到了发展，这些技术方法被用作描述数据，衡量不同数据源间的相似性，以及把数据源分类到不同的簇中。(Clustering analysis refers to the process of grouping a collection of physical
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