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S-Isomap
- Descr iption: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP. Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactio
S-Isomap
- 一个有监督的非线性能够缩小分类维数的算法源代码
mani
- mani: MANIfold learning demonstration GUI by Todd Wittman, Department of Mathematics, University of Minnesota E-mail wittman@math.umn.edu with comments & questions. MANI Website: httP://www.math.umn.edu/~wittman/mani/index.html Last Modified by G
S-Isomap
- S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.
MATLABCodesforDimensionalityReduction
- 维数约减matlab工具箱，包括LLE，ISOMAP，NPE等，具有较好的效果-Dimensionality reduction matlab toolbox, including LLE, ISOMAP, NPE, etc., with good results
isomap
- In statistics, Isomap is one of several widely used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical scaling (metric multidimensional scaling). Isomap is used for computing a quasi-is
Isomap2
- Isomap的改进算法，速度较快。包括了一个瑞士卷生成程序和dijk距离算法。-Improved Isomap algorithm faster. Includes a volume generator and dijk Switzerland distance algorithm.
liuxinggaishu
- :流形学习是一种新的非监督学习方法,近年来引起越来越多机器学习和认知科学工作者的重视. 为了加深 对流形学习的认识和理解,该文由流形学习的拓扑学概念入手,追溯它的发展过程. 在明确流形学习的不同表示方 法后,针对几种主要的流形算法,分析它们各自的优势和不足,然后分别引用Isomap 和LL E 的应用示例. 结果表明, 流形学习较之于传统的线性降维方法,能够有效地发现非线性高维数据的本质维数,利于进行维数约简和数据分 析. 最后对流形学习未来的研究方向做出展望,以期进一步拓展流形
sfrz
- 基于等距映射( ISOMAP) 非线性降维算法, 提出了一种新的基于用户击键特征的用户身份认证算法, 该算法用测地距离代 替传统的欧氏距离, 作为样本向量之间的距离度量, 在用户击键特征向量空间中挖掘嵌入的低维黎曼流形, 进行用户识别。用采集 到的1 500 个击键模式数据进行实验测试, 结果表明, 该文的算法性能优于现有的同类算法, 其错误拒绝率( FRR) 和错误通过率 ( FAR) 分别是1.65 和0 , 低于现有的同类算法。-Based isometric map (ISO
DRTOOL_drtoolbox
- matlab 降维工具箱，最新版本。包含各类线性及非线性降维代码，lle,lpp,mvu,isomap,npe等皆在其中。-DRTOOL, by itself, creates a new DRTOOL or raises the existing singleton*. H = DRTOOL returns the handle to a new DRTOOL or the handle to the existing single
supervised-LLE-S-isomap
- 线性降维算法的各种论文 包括监督非监督 LLE ISOMAP ROBUST 等-Linear dimensionality reduction algorithms include overseeing various papers unsupervised LLE ISOMAP ROBUST etc.
Isomap
- Isomap是一种非线性降维方法。又是一种广泛使用的低维嵌入的方法。[ 1 ] Isomap用于计算准等距，低维嵌入的一组高维数据点。该算法提供了一个简单的方法，用于估计基于一个粗略的估计，每个数据点的邻居流形上的数据流形的内在几何。Isomap是高效和一般适用于范围广泛的数据源和维度。-Isomap is a Nonlinear dimensionality reduction method. And is also one of several widely used low-dimensi
ISOMJOlearning
- Descr iption S-ISOMAP is a manifold learning algorithm, which-The Descr iption of S- ISOMAP is a manifold learning algorithm, which
yznthetic__gather
- Descr iption S-ISOMAP is a manifold learning algorithm, which(The Descr iption of S - ISOMAP is a manifold learning algorithm, which)
S-Isomap
- 非线性降维, 使用者必须自己准备数据，可以对立面的参数进行修改(nonlinear dimesion reduction,This package is free for academic usage. You can run it at your own risk.)