1.
Chinese search result clustering based on key noun phrase clustering
基于关键名词短语聚类的中文搜索结果聚类
2.
Research on Clustering System for Web Searching Results;
Web信息检索结果聚类系统的研究
3.
Search Result Clustering Based on Keyword Extraction
基于关键词提取的搜索结果聚类研究
4.
Clustering Algorithm of Web Search Results Based on Conceptual Grouping
基于概念分组的Web搜索结果聚类算法
5.
Clustering Method Based on Label Hierarchical Search Results
利用标签的层次化搜索结果聚类方法
6.
Research and Implementation on Results Clustering Optimization of Meta Search Engine;
元搜索引擎结果聚类优化的研究与实现
7.
Research and Improve on Clustering Method of the Search Engine s Retrieved Results;
搜索引擎检索结果聚类方法的研究与改进
8.
Study on Search Results Clustering Based on Formal Concept Analysis;
基于形式概念分析的搜索结果聚类研究
9.
Research on Search Results Clustering Based on Self-Organizing Map
基于自组织特征映射的检索结果聚类研究
10.
Research and Implementation of Clustering Systems of Web Search Results
搜索引擎返回结果聚类技术的研究与实现
11.
PAT-tree Based Clustering Algorithms for Chinese Search Engine Results
基于PAT-tree的中文搜索引擎结果聚类算法
12.
An Algorithm for Search Result Clustering Based on Semantic Relevance Between Words
基于词间语义相关度的搜索结果聚类算法
13.
Suffix Tree Based Label Generation Method for Web Search Results Clustering
基于后缀树的Web检索结果聚类标签生成方法
14.
3) easy understanding of result.
3)能够清楚地解释聚类结果,使得结果易于理解。
15.
A Cluster Analyze on SCL-90 Scores of 1994 Recruits.;
1994名新兵SCL-90测试结果的聚类分析
16.
Using Analysis of Variance to test the reliability of the results
运用方差分析验证聚类结果的可靠性
17.
And this result was similar to the result of antagonism and morphological characters.
聚类分析结果与形态特征及拮抗试验结果基本一致。
18.
The clustering of ten breeds is consistent with their geographical distribution.
品种间的聚类结果基本符合品种的地缘分布。