project.carrot2.org
Carrot2 - Open Source Search Results Clustering EngineCarrot2 is an Open Source Search Results Clustering Engine. It can automatically organize (cluster) search results into thematic categories.
http://project.carrot2.org/
Carrot2 is an Open Source Search Results Clustering Engine. It can automatically organize (cluster) search results into thematic categories.
http://project.carrot2.org/
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Carrot2 - Open Source Search Results Clustering Engine | project.carrot2.org Reviews
https://project.carrot2.org
Carrot2 is an Open Source Search Results Clustering Engine. It can automatically organize (cluster) search results into thematic categories.
project.carrot2.org
Carrot2 - Open Source Search Results Clustering Engine
http://project.carrot2.org/documentation.html
Carrot2 @ sf.net. User and Developer Manual. Is the main source of information about Carrot. Getting started with Carrot. For specific information about Carrot. Java API, check the JavaDocs. And the code examples. Finally, if you have questions not covered in the manual and source code, feel free to contact us. Updated: 10 July 2016.
Carrot2 - Open Source Search Results Clustering Engine
http://project.carrot2.org/authors.html
Carrot2 @ sf.net. PhD, the founder of the Carrot. Project, is an associate professor at the Laboratory of Intelligent Decision Support Systems, Institute of Computing Science, Poznan University of Technology, Poland. His research interests include text clustering, information retrieval, web mining, computational linguistics and software engineering. Is the co-founder at Carrot Search. Urszula Krukar, (Poznan University of Technology (PUT), Poland, initial version of Carrot. Updated: 10 July 2016.
Carrot2 - Open Source Search Results Clustering Engine
http://project.carrot2.org/download.html
Carrot2 @ sf.net. If you want to. Version 3.13.0 release notes. With your own data. Clustering settings in real time. Mac OS X 32-bit version. Mac OS X 64-bit version. With your Java software. Java API JAR, JavaDocs and example code. Instructions for Maven2 users. Dependency to your Maven project. Clustering algorithms and document sources:. Dependency groupId org.carrot2 /groupId artifactId carrot2-core /artifactId version 3.13.0 /version /dependency. With your C# / .NET software. Updated: 10 July 2016.
Carrot2 - Open Source Search Results Clustering Engine
http://project.carrot2.org/algorithms.html
Carrot2 @ sf.net. Below is a summary of clustering algorithms that work within the Carrot. Multilingual clustering, synonyms, advanced tuning, scalability (10,000 snippets in 530ms*). Clustering speed measurements were done for 100, 200, 400 snippets downloaded from Yahoo! Clustering time when native matrix computations. Lingo is the default clustering algorithm used in the Carrot. Lingo3G is a commercial document clustering engine. And is not available in the Open Source part of Carrot.
Carrot2 - Open Source Search Results Clustering Engine
http://project.carrot2.org/index.html
Carrot2 @ sf.net. Release 3.13.0. Is kindly supported by a number of companies and organizations. Is an Open Source Search Results Clustering Engine. It can automatically organize small collections of documents (search results but not only) into thematic categories. Search results clustered with Carrot. Apart from two specialized document clustering algorithms. Offers ready-to-use components for fetching search results from various sources including GoogleAPI, Bing API, eTools Meta Search.
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Carrot Search: Lingo3G: Text Document Clustering Engine
https://carrotsearch.com/lingo3g
Lingo3G: text document clustering engine. Lingo3G is a software component that organizes collections of text documents into clearly-labeled hierarchical thematic folders called clusters. In real-time, fully automatically and without external knowledge bases. Lingo3G can help users of your applications to overcome information overload by:. Instant overview of the document set. Lingo3G will concisely summarise the subjects dealt with in the documents. Fast access to relevant documents. Request a free trial.
clusteringalgorithms.blogspot.com
Clustering algorithms for web applications: The Lingo Algorithm
http://clusteringalgorithms.blogspot.com/2007/07/lingo-algorithm.html
Clustering algorithms for web applications. This blog is intended to track the development of my engineering Thesis in the topic of "Clustering algorithms for web applications" during Semester 2 of 2007. The Thesis is in conjunction with Web Engineering Group of the University of Sydney, Australia. Monday, July 23, 2007. Was developed by Dawid Weiss and Stanislaw Osinski at Poznan University of Technology, Poland. Their project Carrot2. Is an open source framework for building search clustering engines.
bboks.net™ :: Life is SELF - Be the primary actor in your LIFE :: 'Dev Environment' 카테고리의 글 목록
http://www.bboks.net/category/Dev%20Environment
Bboksnet : Life is SELF - Be the primary actor in your LIFE. Dev Environment'에 해당되는 글 10건. PgAdmin 컬럼 내용 전체 보기. 아파치 SSL 인증서에서 비밀번호 삭제하기. 특정 URL의 IP 허용. Tomcat 구동 시 setenv.sh 로 실행환경 설정하기. 이클립스 jspf 파일 validation 끄기. Mantis BT File Upload 설정. 공짜, 오픈소스, 저가 검색엔진. PgAdmin 컬럼 내용 전체 보기. File - Options - Query tool - Max. characters per column 을 -1로 변경. Select whole column content in pgAdmin. 이 저작물은 크리에이티브 커먼즈 코리아 저작자표시-비영리-동일조건변경허락 2.0 대한민국 라이선스. 에 따라 이용하실 수 있습니다. Posted by bboks.net. 아파치 SSL 인증서에서 비밀번호 삭제하기.
information display | KenCherven.com
http://kencherven.com/web/taxonomy/term/45
Warning: Creating default object from empty value in /home/kc2519/public html/web/modules/taxonomy/taxonomy.pages.inc on line 34. Posted January 8th, 2011 by kc2519. Posted January 8th, 2011 by kc2519. Several new items have been posted to the Visual-Baseball Gallery. Why Visualization is Critical, Part 1. Favorite Ontology Tools - April 2010. Reporting and Analysis Links. Visual Understanding Environment (VUE).
Open Source Software | KenCherven.com
http://kencherven.com/web/node/2
I love working with open source software, and believe that it acts as a great equalizer that allows people like myself to accomplish far more than was remotely possible just five or ten years earlier. Not only have the number of tools multiplied, the sophistication level of many open source projects and their software has also grown exponentially. Why Visualization is Critical, Part 1. Favorite Ontology Tools - April 2010. Reporting and Analysis Links. Visual Understanding Environment (VUE).
Visualization | KenCherven.com
http://kencherven.com/web/node/4
Visualization has become a personal passion, particularly as it relates to baseball statistics. Living in the business world gives me plenty of exposure to what some have termed "Death by Powerpoint", meaning long presentations often filled with superfluous text and poorly conceived graphics. Why is effective visualization important? There are many reasons we can state, but I'll start with just a few:. Tufte refers to much of the excess elements in displays as "chart junk". Less is often better, part...
analysis | KenCherven.com
http://kencherven.com/web/taxonomy/term/50
Warning: Creating default object from empty value in /home/kc2519/public html/web/modules/taxonomy/taxonomy.pages.inc on line 34. Why Visualization is Critical, Part 1. Posted April 20th, 2010 by kc2519. So what's so important about visualization? Can't we continue to provide data and analysis the same way we always have, through long reports, reaams of data, and lengthy PowerPoint presentations? In a word,. Why Visualization is Critical, Part 1. Favorite Ontology Tools - April 2010.
visualization software | KenCherven.com
http://kencherven.com/web/taxonomy/term/4
Warning: Creating default object from empty value in /home/kc2519/public html/web/modules/taxonomy/taxonomy.pages.inc on line 34. Software used to create visualizations. Posted January 8th, 2011 by kc2519. A few facts about me, including some background, philosophies, passions, and goals. Visualization has become a personal passion, particularly as it relates to baseball statistics. Living in the business world gives me plenty of exposure to what some have termed "Death by Powerpoint", meaning long p...
Carrot Search: Lingo3G: FAQ
https://carrotsearch.com/lingo3g-faq
Carrot Search: Lingo3G: FAQ. What is the cost of a Lingo3G license? Lingo3G comes in three editions. Can I get an evaluation license for Lingo3G? You can get a free trial license. Can Lingo3G be integrated with C#? Yes, you can use Lingo3G C# API. To call clustering from your C / .NET code. Java runtime is not required for the C# API. What are the Lingo3G licensing terms? Please see the Lingo3G editions summary. For information on licensing, updates and support terms. Which languages does Lingo3G support?
Browse Projects - Carrot2 Issues
http://issues.carrot2.org/secure/BrowseProjects.jspa
Http:/ project.carrot2.org. Http:/ labs.carrotsearch.com/hppc.html. Http:/ labs.carrotsearch.com/jsuffixarrays.html. Http:/ labs.carrotsearch.com/junit-benchmarks.html. Powered by a free Atlassian JIRA. Open source license for Carrot2. Try JIRA - bug tracking software.
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Carrot2 - Open Source Search Results Clustering Engine
Carrot2 @ sf.net. Release 3.15.1. Is kindly supported by a number of companies and organizations. Is an Open Source Search Results Clustering Engine. It can automatically organize small collections of documents (search results but not only) into thematic categories. Search results clustered with Carrot. Apart from two specialized document clustering algorithms. Offers ready-to-use components for fetching search results from various sources including GoogleAPI, Bing API, eTools Meta Search.
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