Description: DBSCAN算法的JAVA实现,可以在D:\使用text.txt数据文件来进行DBSCAN聚类-DBSCAN algorithm JAVA, the D : \ text.txt data files used for clustering DBSCAN Platform: |
Size: 16384 |
Author:赵发毅 |
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Description: 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 Language Modeling）、医学文献下载/解析/索引（MEDLINE Download, Parsing and Indexing）、数据库文本挖掘（Database Text Mining）、中文分词（Chinese Word Segmentation）、情感分析（Sentiment Analysis）、语言辨别（Language Identification）等API。-A natural language processing of the Java open-source toolkit. LingPipe currently have a lot of useful features, including Subject Classification (Top Classification), Named Entity Recognition (Named Entity Recognition), part of speech tagging (Part-of Speech Tagging), sentence detection problem (Sentence Detection), spell-checking query (Query Spell Checking), interest in the phrase detection (Interseting Phrase Detection), Cluster (Clustering), Character Modeling Language (Character Language Modeling), medical literature to download/analysis/index (MEDLINE Download, Parsing and Indexing), text mining database (Database Text Mining), Chinese word segmentation (Chinese Word Segmentation), emotional analysis (Sentiment Analysis), language identification (Language Identification), such as API. Platform: |
Size: 4669440 |
Author:张国栋 |
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Description: java实现的K-Means文本聚类文章，采用英文撰写，需要源码的可以发邮件lixinle@yahoo.cn。-java realize the K-Means Text Clustering articles written in English to the source code can email lixinle@yahoo.cn. Platform: |
Size: 215040 |
Author:李新乐 |
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Description: 基本上来看是一个很好的工具，关键在于给出了案例，一共有6个。-The Dragon Toolkit is a Java-based development package for academic use in information retrieval (IR)
and text mining (TM, including text classification, text clustering, text summarization, and topic modeling).
It is tailored for researchers who work on large-scale IR and TM and prefer Java programming. Moreover,
different from Lucene and Lemur, it provides built-in supports for semantic-based IR and TM. The dragon
toolkit seamlessly integrates a set of NLP tools, which enable the toolkit to index text collections with
various representation schemes including words, phrases, ontology-based concepts and relationships. Platform: |
Size: 164864 |
Author:徐水 |
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Description: 稀疏矩阵用于文本挖掘的实验平台，TREC数据评价的API借口-The Dragon Toolkit is a Java-based development package for academic use in information retrieval (IR)
and text mining (TM, including text classification, text clustering, text summarization, and topic modeling).
It is tailored for researchers who work on large-scale IR and TM and prefer Java programming. Moreover,
different from Lucene and Lemur, it provides built-in supports for semantic-based IR and TM. The dragon
toolkit seamlessly integrates a set of NLP tools, which enable the toolkit to index text collections with
various representation schemes including words, phrases, ontology-based concepts and relationships. Platform: |
Size: 4096 |
Author:徐水 |
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Description: k-means算法是文本聚类经典算法，也是数据挖掘十大经典算法之一。k-means算法Java实现。-k-means algorithm is a classical algorithm text clustering, data mining is one of the ten classic algorithms. k-means algorithm is implemented in Java. Platform: |
Size: 2048 |
Author:黄紫竹 |
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