Description: This is a big job data mining courses, the main feature is the description has been given three-dimensional structure of biological molecules of the 139,351 properties, classification to predict the molecular compound on the target body of chemical activity, so as to achieve the purpose of helping drug design. Experimental data available include: 110 has been marked activity of labeling a description of three-dimensional structure of the 139,351-dimensional molecular data from 634 marked activity of labeling of three-dimensional structure of the data. Want to provide the basis of these data, the adoption of appropriate classification methods, a trained classifier, can be marked as accurately as possible without the help of active molecules to determine their activity.
To Search:
- [KDDCUP] - KddCUP neural network data processing, w
- [DataMing] - Data Mining Based on Bayesian Network al
- [general] - ID3 decision tree procedures, including
- [Semisupervsedalignmenofmanifolds] - A semi-supervised manifold learning algo
- [GEPKNN] - Code is the implementation of a classifi
- [CBA_SYSTEM] - 【Abstract】This review presents the cours
- [J48] - Data mining classification algorithms: J
- [AI_Blood] - The big job to use K-neighbor (K-Nearest
- [bayes] - Naive Bayes text classifier to achieve w
File list (Check if you may need any files):
源代码\MyErrorMeasure.java
......\MyClassifier.java
......\ErrorMeasurement.java
......\TriTrain.java
......\数据预处理\FormatTransformer.java
......\..........\testchoose.txt
......\..........\fea_sort.txt
......\..........\GetDataForMatlab.java
......\..........\trainchoose.txt
......\..........\dimreduction.m
......\数据预处理
源代码
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