您要查找的是不是:
- Second, we design a Chinese text clustering model CTCM and research main aspects of CTCM, including feature presentation, feature extraction, and clustering algorithm. 然后,我们设计了一个中文文本聚类模型CTCM(Chinese Text Clustering Model),并针对模型中涉及到的特征表示、特征提取等问题进行了研究。
- Second, we design a Chinese text clustering model CTCM and research main aspects of CTCM such as feature presentation, feature extraction, the adjust of feature vector and clustering algorithm. 然后,我们设计了一个中文文本聚类模型CTCM(Chinese Text Clustering Model),并针对模型中涉及到的特征表示、特征提取、特征向量调整和聚类算法等问题进行了研究。
- The main results of our paper are as follows: present a Chinese text clustering model; obtain a Chinese text algorithm which can select better initial point and a DBTC clustering algorithm which can identify cluster with any shape. 本文获得的主要结果:提出了一个中文文本聚类模型,提出一种选取初始聚类中心的中文文本聚类算法和一种能发现任意形状簇的DBTC聚类方法。
- Research on Text Clustering Algorithm and BBS Browsing Mechanism 一种文本聚类方法及BBS浏览机制研究
- A Novel Text Clustering Algorithm Based on Inner Product Space Model of Semantic 一种基于语义内积空间模型的文本聚类算法
- text clustering algorithm 文本聚类算法
- We give a feature appraising function which can be used to extract text feature and improve the clustering algorithm. 给出了一个特征评价函数用以进行特征提取;对一种基于相似度的平面划分聚类算法做了一些改进。
- This algorithm is similar to the Microsoft Clustering Algorithm. 该算法类似于Microsoft聚类分析算法。
- An optimized ant colony clustering algorithm based on the rough set and colony intelligence is provided to use in text mining. 介绍了在粗糙集理论和群体智能理论的基础上提出的一种优化的用于文本挖掘的蚁群聚类算法。
- This paper presents a similarity-based grid clustering algorithm (SGCA). 摘要 提出了一种基于相似度的网格聚类算法(SGCA)。
- Through the vector space model, text clustering, genetic algorithms to try a new method summary of the text. 通过空间向量模型、文本聚类、遗传算法等成熟的技术尝试一种新的文本摘要方法。
- This paper introduces a text clustering method based on VSM (vector space model). 摘要研究了一种基于向量空间模型的文档聚类方法。
- Design and implement a Chinese text clustering system which has the clustering function in the k-means and STC algorithms. 设计并实现了一个小型的中文文本聚类系统,可以进行k-平均和STC聚类。
- Jiang Ning, Shi Zhongzhi.Bayesian posteriori model selection for text clustering[J].Journal of Computer Research and Development, 2002,39(5):341-346. [1]姜宁;史忠植.;文本聚类中的贝叶斯后验模型选择方法[J]
- The computer emulating result proved that this algorithm excel the LBG and fuzzy clustering algorithm. 仿真结果证明该算法大大优于LBG法[1]和模糊聚类法[5]
- Fuzzy K means clustering algorithm can segment white matter,gray matter and CSF better from the MR head images. 模糊K- 均值聚类算法能很好地分割出磁共振颅脑图像中的灰质、白质和脑脊液。
- Our automatic multi-document summarization system combine a series of NLP techniques, such as text segmentation, text clustering and Vector Space Model. 系统综合了一些自然语言处理技术,包括文本分段、文本段聚类、向量空间模型的相似度计算等。
- A fast clustering algorithm based on hypersphere of the multidimensional space is presented. 摘要提出了一种基于多维空间超球体的快速聚类算法。
- The common categorizing technologies of text DM include automatic text categorizing, automatic text clustering, text summarizing and text relevance analysing, etc. 文本挖掘中常用的技术有文本的自动分类、聚类、文本总结和关联分析等,其中文本自动分类是一种重要的方法。
- LEACH is a typical clustering algorithm, in which clustering nodes play the leading role. LEACH算法是一种典型的分簇路由算法,簇头的选取直接影响到算法性能的优劣。
以上内容独家创作,受著作权保护,侵权必究
海词词典,十七年品牌