Description: 搜索引擎结果聚类提纯
含cgi页面代码和后台处理代码
在聚类过程中将内容过于重复的页面合并,因此用户看到不同的文档将能够获取不同的信息。
-Purification clustering search engine results pages with cgi code and deal with code in the background during clustering repeat too merge pages, so users see different documents will be able to access different information. Platform: |
Size: 1071104 |
Author:sisn |
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Description: 我自己做的聚类搜索引擎,使用了K-mean和K-NN聚类算法-I have to do the clustering search engine, using the K-mean and K-NN clustering algorithm Platform: |
Size: 214016 |
Author:李烨 |
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Description: 目前的搜索引擎产生的搜索结果过于庞大和杂乱,用户难以从大量的结果集中快速找到自己感兴趣的信息。
为了便于用户浏览,利用文档聚类算法将搜索结果自动聚类,形成一个类似文件夹的层次结构是一种好的方法。
传统的文档聚类算法,所产生的聚类结果簇没有可读性,不适于直接应用于网页的聚类。
-The current generated by the search engine search results is too large and cluttered, the user can hardly concentrate on the results from a large number quickly find information of interest to them. In order to facilitate users to browse, use the document search results clustering algorithm auto-clustering, create a similar folder hierarchy is a good method. Traditional document clustering algorithm, clustering results generated by the cluster is not readable, not suitable for directly applied to the cluster page. Platform: |
Size: 59392 |
Author:林健 |
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Description: 聚类网站carrot2的聚类源代码,该网站属于国际公认的聚类搜索引擎-Cluster site carrot2 Cluster source code, the site belongs to the internationally recognized clustering search engine Platform: |
Size: 11044864 |
Author:chehao |
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Description: Carrot2 is an Open Source Search Results Clustering Engine. It can automatically organize (cluster) search results into thematic categories. Platform: |
Size: 4096 |
Author:如此风格 |
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Description: mahout是一个开源的软件包,对搜索引擎的聚类,分类算法以及推荐系统算法的代码实现-mahout is an open source software package, the search engine clustering, classification and recommendation system algorithm algorithms code Platform: |
Size: 54227968 |
Author:zhaoln |
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Description: 集体智慧编程中文版,本书以机器学习与计算统计为主题背景,专门讲述如何挖掘和分析web上的数据和 资源。本书包含协作过滤技术,集群数据分析,搜索引擎核心技术,贝叶斯过滤技术等。-Collective intelligence programming Chinese edition, the book in machine learning and statistics are calculated as the theme, specifically on how to mine and analyze data and resources on the web. This book contains the collaborative filtering techniques, data clustering analysis, search engine core technology, Bayesian filtering technology. Platform: |
Size: 28405760 |
Author:相知无悔 |
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