- Category:
- -
- Tags:
-
[Java]
[源码]
- File Size:
- 14.73mb
- Update:
- 2008-10-13
- Downloads:
- 0 Times
- Uploaded by:
- mht-1993
Description: Weka is a collection of machine learning al gorithms for data mining tasks. The algorithms can either be applied directly to a dataset or ca lled from your own Java code. Weka contains tool 's for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for d eveloping new machine learning schemes. can be a real Categories are various methods of software, using all the attributes of objects. Decision Tree, distance, density, etc.
- [projet] - a simulation system, the importation of
- [DecisionTreeApplet_3.20] - a Decision Tree Applet (reproduced, whic
- [C45source] - Application of C45 decision tree tools o
- [SVM20] - an SVM classification algorithm, windows
- [weka_datamining] - A small data mining application software
- [WebDataMining] - Web data mining technology in data minin
- [dataMining] - Data Mining Concepts and Techniques 2nd
- [2] - Data Mining Practical Machine Learning T
- [association] - Data mining algorithms in the Fp-tree tr
File list (Check if you may need any files):