资源列表
Estimation-Method
- 聚类 分类的各种评价标准 Rand index Adjusted Rand index Mirkin index Hubert index-Various uation criteria clustering classification Rand index Adjusted Rand index Mirkin index Hubert index
SVM_GUI_3.1[mcode]
- faruto编写的基于libsvm3.1的SVM_GUI，可用于SVM分类及相关回归分析，已经集成了GA及PSO参数寻优算法及PCA算法，提供的是GUI版本及与之对应的源码版本-SVM_GUI and the program of SVM_Code,base on the version of the Libsvm 3.1，using the GA and PSO algorithm to improve
BPFPA-for-cluster-analysis
- 花粉授粉聚类算法,实现多种数据集测试，聚类效果相比更优秀-Flowes Pollination clustering algorithm
code
- （神经网络）多个隐含层的多层感知器网络训练数据得到网络，并使用测试数据统计所设计多层感知器的平均识别正确率-Multi layer perceptron network training data with multiple hidden layers is obtained, and the average recognition accuracy of the multi-layer perceptron is designed by using the test data statisti
FPGrowth
- FpGrowth算法的Java完整实现，可用于改进到分布式环境，自制基础数据文件后结果可生成-Results can generate a full implementation of Java FpGrowth algorithm that can be used to improve the distributed environment, homemade basic data files
DL4J_LSTM
- deeplearning4j依赖下，Java实现神经网络LSTM算法，DailyData.class实现数据结构，StockDataIterator.class进行数据预处理-deeplearning4j dependent under, Java LSTM realize neural network algorithm, DailyData.class data structure, StockDataIterator.class data preprocessing
CYCLIC-MEAN
- 传感器振动信号的处理，求解信号的循环平稳均值-Vibration sensor signal processing, signal cyclostationary mean solving
baiduitzhaopin
- Scrapy框架下实现的爬取百度招聘上所有相关招聘信息的爬虫，有效的对爬下来的数据以合适的格式进行储存。后续可进行数据挖掘。-Under the framework of realization Scrapy crawling reptiles Baidu recruitment on all jobs, effective to climb down data stored in a suitable format. Follow-up for data mining.
Antoni
- ANTONI信号处理：对传感器采集信号利用MATLAB进行均值处理-ANTONI Signal Processing: collecting the sensor signal processing with MATLAB mean
wavelet_test_animation
- 对于振动传感器采集的数据，利用小波变换，得到数据时频的动画。-For vibration data collected by sensors using wavelet transform to obtain frequency data animation.
high-and-low-pass
- 实现对振动传感器的数据预处理，可以对信号实现高通和低通数据处理。-Data pre-processing of vibration sensor, can signal high-pass and low-pass data processing.
MATLAB-program
- 实现对信号特征的提取，能够实现对数据谱的峰值特征的提取。-To achieve the extraction of signal characteristics, enabling the extraction of data spectral peak features.