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新建 Microsoft Word 文档 (4)
- 模糊聚类分析算法fuzzy_k_means,主要用于数据挖掘领域.-fuzzy clustering algorithm fuzzy_k_means, mainly for data mining areas.
lingpipe-3.6.0
- 一个自然语言处理的Java开源工具包。LingPipe目前已有很丰富的功能，包括主题分类（Top Classification）、命名实体识别（Named Entity Recognition）、词性标注（Part-of Speech Tagging）、句题检测（Sentence Detection）、查询拼写检查（Query Spell Checking）、兴趣短语检测（Interseting Phrase Detection）、聚类（Clustering）、字符语言建模（Character
text-data-mining
- 此程序实现了如何在TXT或WORD文档中进行数据挖掘,在文本中提取有用信息-The realization of this procedure how to TXT or WORD document to carry out data mining, in the text to extract useful information
Language_model_learning_in_English
- 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
julei
- 聚类的资料 word版 包含很多算法源代码-Clustering data word version of the source code contains many algorithms
clustering
- 关于聚类的几个算法，在做方字识别时用到过-With regard to clustering of several algorithms, in word recognition, when used to do that too
textcluster
- java文本聚类程序代码文件，实现文本聚类功能，分词。-text clustering java code files to achieve text clustering features, sub-word.
File22
- 基于关键词的Web文档自动分类算法研究,文档关键词，语义相似度，聚类算法，知网，拓扑网络图，中文分词-Keyword-based Web Document Classification Algorithm, document keywords, semantic similarity, clustering algorithm, HowNet, topological network diagrams, Chinese word segmentation
KmeansVsAffinity
- MS WORD document describing & comparing k means clustering and affinity propagation
Bayes
- 用bayes实现的聚类算法，分词采用的是SharpICTCLAS分词系统 1.0-Achieved using bayes clustering algorithm, word segmentation is used SharpICTCLAS System 1.0
Clustering-for-Chinese-Word-
- 这是关于谱聚类在汉字聚类领域应用的文章，谱聚类表现出比k-means更好的聚类效果。-This is the article on the spectral clustering in the field of Chinese characters clustering, spectral clustering performance better than the k-means clustering effect.
similarityCalculation
- 用c#方法描述了话题识别（话题跟踪与检测）的过程，主要是提取特征词、特征词词频计算、权重计算（tfidf方法），进行相似度计算，最后聚类-C# method describes the process of topic identification (topic tracking and detection), the word feature extraction, feature words word frequency calculation, weight to calculate me
stopword-list
- 在文本进行分类聚类之前，必须对文本进行预处理。预处理的第一步是分词，这中间需要去除停用词。这个文件就是停用词列表-Must preprocess the text before the text classification clustering. The first step in preprocessing is the word, the middle need to remove the stop words. This file is the stop word list
exp7
- LBG分类算法 用初始室心随机法和扰动因子分裂法两种方法，比较不同方法不同参数设置时的分类性能。 -LBG classification algorithm vector quantization: vector normalization within a certain range for a particular type, consists of two steps: first generate a codebook, which is the speech feature v
textcluster
- 实现中文分词并聚类输出，分词算法是自己写的以空格分词，如果有需要高级的分词算法可自己下载相关算法-Realization of the Chinese word segmentation and clustering output
k-and-isodata
- 模式训别的k均值算法和isodata聚类算法c++实现，程序有较清楚的注释，且有word文档说明程序是如何实现算法的，对于刚接触模式识别的程序具有很好的启发作用，不足之处是没有用mfc完成界面编程-Mode of training to achieve other k-means algorithm and isodata clustering algorithm c++, procedures clearer notes and word documents that the program
HTK-digital-SR-system-
- 该系统能够识别连续说出的数字串和若干组姓名。建模是针对子词(sub-word, eg. 音 素)，具有一定的可扩充性。当加入一个新名字时，只需修改发音词典和任务语法即可。模 型为连续混合高斯输出，运用语音决策树聚类形成的绑定状态式三音素。-The system is able to recognize continuously spoken digit string and the number of groups name. Modeling is a sub-word (sub-wo
BSAS_algorithm
- BSAS基本顺序算法，聚类算法中常见的一种，包含可以运行的matlab源程序和详细的word文字讲解。-A BSAS basic sequential algorithm, clustering algorithm, contains can run matlab source and detailed word text to explain.
textcluster
- Text Clustering, Kmeans Cluster Stop word Handler TermVector TFIDFMeasure Tokeniser
word2vec
- word2vec：谷歌的开源项目，实现从词语到向量的转换（word to vector），Linux系统下运行，需要较大规模的语料资源用作训练才能体现出很好的效果（中英文均可），并且可以实现测量两个词语之间的距离（cos值表示），词语聚类等。-word2vec: Google' s open-source projects, a word-to-vector conversion (word to vector) running under Linux system, requires