资源列表
Chen_AeroSense03
- 多目标多传感器关联的权值分配算法，对于多数据挖掘很有参考意义-Multitarget-Multisensor Data Association Using the Tree-Reweighted Max-Product Algorithm
Optimal-Decision-Fusions
- 多传感器融合的优化决策理论，对于学习传感器数据挖掘有一定的借鉴意义。-Optimal Decision Fusion in Multiple Sensor Systems,pdf format.
OIF
- 使用最佳指数法对高光谱图像进行波段选择的程序。分享一下-The procedure for band selection of hyperspectral images using the best exponential method. share
Relief
- Relief算法是一种特征权重算法,可以用于特征选择-Relief algorithm is a feature weighting algorithm，which can be used for feature selection
FDSFDS
- 绝对是就是地方就是案发地方撒廊坊欧式是大家发乐视-Is definitely the place where the crime is spreading Langfang Continental is everyone made music as
fuzzy
- 模糊聚类分析是根据客观事物间的特征、亲疏程度、相似性，通过建立模糊相似关系对客观事物进行聚类的分析方法。-Fuzzy clustering analysis based on objective characteristics, the degree of relatedness, similarity, through the establishment of fuzzy cluster analysis method of objective things.
belajar_decision_tree
- Decision Tree Classifier applied on standard Iris dataset using Python.
learning-data-mining-with-python
- 《python数据挖掘入门与实践》随书源代码，Chapter1-Chapter12.使用ipython notebook运行，包括社会媒体挖掘，作者归属，新闻语料分析，大数据处理等应用实例。-Python data mining entry and practice with the book source code, using Chapter1-Chapter12. IPython notebook operation, including social media mining, aut
kernelpca_tutorial
- 基于R语言的kernel矩阵生成代码，已包含高斯核，可以修改核函数-R language based on the kernel matrix generation code, has included the Gauss kernel, you can modify the kernel function
Recommender
- 基于MovieLens数据，通过计算余弦相似度，Python语言构建的一个简单协同过滤推荐系统，并给出RMSE等测评结果-Based MovieLens data by calculating the cosine similarity, Python language to build a simple collaborative filtering systems, and the like are given RMSE uation results
svr-kernel-function-version
- 用matlab实现了支持向量回归，并且使用了核函数，对于各种维度的数据均可使用-Using matlab to achieve an SVR, and uses kernel functions for the various dimensions of the data can be used
CARS_Characteristic-band-extraction
- 特征带提取算法，可以很好地提取有用的频带，结果更为准确，CARS_Characteristic带提取.m为主程序，调用程序中的压缩包。-Feature band extraction algorithm, can be a good extraction of useful bands, the results are more accurate, CARS_Characteristic band extraction.m for the main program, call the progr