搜索资源列表
IsomapR1
- 基于测地距离不变性的非线性降维算法源码，原文发表在2000年的Science杂志上，需要了解具体原理者请先看其论文。-based on geodesic distance invariance of nonlinear reduced dimension algorithm source code, the text published in 2000 in Science magazine, the need to understan
kpca_toy
- 基于kernel pca的非线性降维算法，原文发表于神经计算杂志上，有兴趣者可以先看论文。-PCA-based kernel of nonlinear reduced dimension algorithm, the original published in the Journal of neural computation, those interested can read papers.
mani
- 图象降维算法,比如有名的LLE,PCA,ISOMAP......等,对研究图象分析的研究人员有很大的帮助-image dimensionality reduction algorithms such as the famous LLE, PCA, ISOMAP .... Image analysis of the study researchers will be very helpful
mddm
- MDDM是一种多类标分类降维算法，使用成对约束对正类和负类进行迭代- is a novel algorithm to deal with the multilabel dimensionality reduction.
K-Means PCA降维
- K-Means算法,不要求建立模型之后对结果进行新的预测，没有相应的标签，只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding
pca降维算法
- pca降维算法，试验已经成功，将39维数据降到12维(PCA dimensionality reduction algorithm, the test has been successful, the 39 dimensional data down to 12 dimensions)
各种算法
- 数据挖掘的各种经典算法，有数据降维、数据预处理等等(Data mining of various classic algorithms, data dimensionality reduction, data preprocessing and so on)
pca降维
- pca数据降维算法，很好的解决数据灾难的问题。(PCA data dimensionality reduction algorithm, a good solution to the problem of data disaster.)
PCA实现特征降维
- pca和_fase_pca实现特征降维，两种算法都有所改进，特别是pca可以根据自己的需要进行相应的改进，代码清晰易懂，希望对你有帮助。(PCA and _fase_pca to achieve feature reduction, the two algorithms have improved, especially PCA can be improved according to their needs, the code is
example_knn(降维)
- knn降维算法用于图像分类，将所给样本遥感图像按照要求进行分类(KNN dimensionality reduction algorithm for image classification)
局部线性嵌入
- 利用局部线性嵌入算法将高维数据映射到低维空间中，达到降维效果；(The local linear embedding algorithm is used to map the high dimensional data into the low dimensional space to achieve the effect of reducing the dimension.)
KLFDA
- 很好的文件，充分解释了该降维算法的原理，对人工智能有帮助。(A good document fully explains the principle of the dimensionality reduction algorithm, which is helpful for artificial intelligence.)
cca
- 对于降维方法中，曲线成分分析（CCA）的实现(For the dimensionality reduction method, the realization of curve component analysis (CCA) is realized.)
pca_PCA降维
- 一款很好用的PCA降维算法，可以自己修改后随意使用。(A very good PCA dimensionality reduction algorithm.You can modify it yourself and use it at will.)
NM_PCA
- PCA降维算法，本程序已经调好，可以直接跑数据(PCA dimension reduction algorithm, this program has been adjusted, you can run data directly)
空时自适应处理
- 仿真空时自适应处理STAP里的算法合集程序：Capon谱、降维算法3dt、JDL等(Algorithms aggregator for simulation space-time adaptive processing in STAP: Capon spectrum, dimension reduction algorithm 3dt, JDL, etc.)
SPA降维算法
- 连续投影算法，选取特征波长，可以实现多维数据的降维，提取特征波段
tsneMATLAB论文仿真代码
- 实现tSNE降维，已经封装完成，可以直接在matlab使用(Reducing dimension of tsne)
3DT算法
- 该程序仿真了空时自适应处理STAP里的降维算法3dt，并与最优空时处理的结果进行了比较(This program simulates the space-time adaptive processing of the reduced-dimensional algorithm 3dt in STAP and compares the results with the optimal space-time processing.)
降维code
- 了解降维、特征筛选等基本原理 掌握PCA、SVD、LAD和NMF等算法实现及应用(Understand the basic principles of dimensionality reduction and feature selection Master the algorithm implementation and application of PCA, SVD, lad and NMF)