资源列表
HiFi-We_release
- 潘斌博士的高光谱分类算法代码，发表于2017年TGRS，效果较好-Dr Pan s high spectral classification algorithm, published in 2017 at TGRS, works better
algorithms
- 我个人收集的各类智能算法，共有20多个源代码，包括：遗传算法，蚁群算法，粒子群算法，微分进化算法，遗传神经网络算法，粒子群SVM算法，粒子群神经网络算法等混合算法-I collect all kinds of intelligent algorithms, a total of more than 20 source code, including: genetic algorithms, ant colony optimization, particle swarm optimization,
MSVMforproteins.tar
- 多分类支持向机C语言源代码.内含祥细使用说明及应用例子与数据.-Multiple classifiers to support the C language source code machine.祥细contains examples of use and application and data.
Psopt3
- C语言Legendre伪谱法软件，带很多算例-pseudospectral C++
caffe
- 一种设计的卷积神经网络用于图像特征的快速提取，并可以根据环境自行选择是否使用GPU-Design of a convolution neural networks for image feature extraction fast, and you can choose whether to use the GPU itself according to the environment
intro-to-dm
- Some papers introduce basic concepts and method widely used in data mining.
neural-network
- 基于神经网络的增量学习算法的相关文献，主要用于文本分类-Literature incremental learning algorithms based on neural networks, mainly for text classification
gpcfounivariate
- genetic programing for cash from operation forecasting in univariate setting
dpca
- 自动选择聚类中心的快速搜索密度峰值聚类算法(A fast search algorithm for density peak clustering based on automatic selection of clustering centers)
clustering
- 基于快速搜索数据密度峰值的聚类算法是一种基于聚类中心具有较近邻点有更高密度且其与更高密度点间有着较大的相对距离的一类算法。-Clustering by fast search and find of density peaks is based on the idea that cluster centers are characterized by a higher density than their neighbors and by a relatively large distance
patternclassification
- 模式识别ppt。R. O. Duda的那本Pattern Classification 模式识别红宝书配套ppt
NB_for_text_classification
- 文本分类：朴素贝叶斯分类器例子，采用Multi-Variate Bernoulli Event Model。一个文件为训练，一个文件为测试，采用20newsgroups数据集。-Text classification: Naive Bayes classifier example, the use of Multi-Variate Bernoulli Event Model. A file for training, a file for testing, using 20newsgroups