资源列表
kfold-knn.m.tar
- The program k folds the data set and applies K-Nearest Neighbors algorithm to classify the images.
DecisionTreeAndRDF-master
- id3决策树算法和随机森林算法，讲的很清晰，步骤很详细-id3 decision tree algorithms and random forest algorithms, said very clearly, very detailed step
Enhancedtextmining
- 强化版本文本挖掘流程，包含分词，分类聚类，分词结果评估等-Enhanced version of the text mining process, including word segmentation, classification clustering, segmentation results uation, etc.
Bias_algorithm_java
- 贝叶斯算法java实现,在贝叶斯算法思想基础上做改进，提供文本分类效率-Bias algorithm java implementation, based on the idea of Bias algorithm to improve the efficiency of text classification
Precision_Recall_F1-Measure
- 信息检索和自然语言处理中经常会使用这些参数:准确率（Precision）、召回率（Recall）以及综合评价指标（F1-Measure ） -These parameters are often used in information retri and natural language processing (Precision), recall rate (Recall), and comprehensive uation index (F1-Measure).
shortest-path-of-N
- N最短路径是K最短路径（KSP）的变种，KSP指的是DAG中单源路径中前K条最短的路径- N shortest path is the shortest path (KSP) of K, KSP refers to the DAG in the single source path of the shortest path in the former K
scaleForSVM
- 用SVM进行分类时，需要对原数据进行归一化处理。-When using SVM classification, the need for raw data normalized.
LDM
- 对SVM分类方法进行的一种改进方法。将其中的margin改变。-SVM classification method for an improved method. The margin will be one change.
extrema
- 解决EMD分解后端点不正确的现象，该算法能有效解决这一问题-EMD decomposition procedure to solve the problem endpoint, can effectively solve the endpoint of decomposition phenomenon incorrect
myknn
- 自己写的knn算法，加入了剪辑近邻法,可以对类别交界处进行剪辑-knn written by myself
Mymeans
- k-means（k均值聚类）,使用R语言实现，分类的准确度跟自带的差不多-k-means written by myself
Naive-PLA
- 感知器学习算法。R语言实现版本。自己写的，给大家一个参考-perceptron learning of algorithm