登录
首页 » PDF » text_mining

text_mining

于 2010-12-06 发布 文件大小:3688KB
0 308
下载积分: 1 下载次数: 3

代码说明:

  文本挖掘道在分类,聚类上的应用。包含理论与实例。英文影印版。(Application for text mining on classification and clustering, including theory and examples.)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • Signal_Integrity_Analysis
    硕士/博士《论文高速电路信号完整性分析》,是nk格式论文,在中国知网上可以下载相应的阅读器。(Master' s/PhD " thesis high-speed circuit signal integrity analysis," is nk format paper, known in China, online you can download the appropriate reader.)
    2009-12-31 17:57:22下载
    积分:1
  • fundamentals_of_sensor_network_programming
    Reference book for sensor networks.
    2014-11-04 19:38:16下载
    积分:1
  • MATLAB_book1
    《MATLAB优化算法案例分析与应用(进阶篇)》,基于工程实践和算例的分析,对优化算法学习很有帮助(MATLAB optimization algorithm case analysis and application (Advanced edition), based on engineering practice and examples analysis. It is very helpful to learn the optimization algorithm)
    2017-04-24 17:01:34下载
    积分:1
  • Learning_CSharp_2005_2nd_Edition
    Learning C# 2005 By Jesse Liberty, Brian MacDonald ............................................... Publisher: O Reilly Pub Date: February 2006 Pages: 552 Programming C# and Programming ASP.NET, has written an entry-level guide to C#.
    2010-01-05 09:43:38下载
    积分:1
  • winAVR
    winAVR中文教程winAVR中文教程winAVR中文教程(failed to translate)
    2009-07-04 09:21:28下载
    积分:1
  • 深入理解C#(中文第三版)
    深入理解C#(中文第三版)pdf文档 带目录清晰版(C# in depth)
    2020-06-20 23:20:02下载
    积分:1
  • Deal_with_DLL
    说明:  在AutoIt3中如何处理DLL库的教程(The AutoIt3 tutorial in how to deal with DLL)
    2010-03-24 12:45:18下载
    积分:1
  • 16111990-C-interview-questions-and-answers
    C C++ interview Questions and Answers
    2020-10-25 15:10:00下载
    积分:1
  • Programme-iot-Tunsia-workshop-2018-1
    iot security challenge
    2019-03-09 00:24:24下载
    积分:1
  • Ballot
    This thesis relates to the design, implementation and evaluation of statis¬ tical face recognition techniques. In particular, the use of Hidden Markov Models in various forms is investigated as a recognition tool and critically evaluated. Current face recognition techniques are very dependent on issues like background noise, lighting and position of key features (ie. the eyes, lips etc.). Using an approach which specifically uses an embedded Hidden Markov Model along with spectral domain feature extraction techniques, shows that these dependencies may be lessened while high recognition rates are maintained.
    2010-05-10 01:15:05下载
    积分:1
  • 696516资源总数
  • 106627会员总数
  • 16今日下载