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文本聚类是基于相似性算法的自动聚类技术，自动对大量无类别的文档进行归类，把内容相近的文档归为一类，并自动为该类生成特征主题词。适用于自动生成热点舆论专题、重大新闻事件追踪、情报的可视化分析等诸多应用。
灵玖Lingjoin（www.lingjoin.com）基于核心特征发现技术，突破了传统聚类方法空间消耗大，处理时间长的瓶颈；不仅聚类速度快，而且准确率高，内存消耗小，特别适合于超大规模的语料聚类和短文本的语料聚类。
灵玖文档聚类组件的主要特色在于：
1、速度快：可以处理海量规模
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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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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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数据拟合与分群方法于强健语音特征提取之研究-Exploring the Use of Data Fitting and Clustering Techniques for Robust Speech Recognition
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This paper presents an analytical study on different clustering techniques used for image segmentation
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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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this document describes different techniques for clustering in WSN
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