登录
首页 » matlab » isomap-master

isomap-master

于 2018-12-27 发布 文件大小:160KB
0 234
下载积分: 1 下载次数: 11

代码说明:

  用matlab实现的isomap降维算法,该算法为论文原下载算法。(Use matlab to achieve the isomap reduction)

文件列表:

isomap-master, 0 , 2017-03-06
isomap-master\README.md, 165 , 2017-03-06
isomap-master\floyd_warshall.m, 171 , 2017-03-06
isomap-master\isomap.m, 552 , 2017-03-06
isomap-master\main.m, 446 , 2017-03-06
isomap-master\train_set, 0 , 2017-03-06
isomap-master\train_set\face, 0 , 2017-03-06
isomap-master\train_set\face\face0.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face1.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face10.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face11.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face12.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face13.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face14.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face15.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face16.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face17.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face18.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face19.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face2.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face20.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face21.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face22.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face23.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face24.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face25.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face26.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face27.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face28.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face29.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face3.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face30.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face31.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face32.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face33.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face34.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face35.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face36.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face37.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face38.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face39.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face4.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face40.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face41.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face42.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face43.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face44.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face45.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face46.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face47.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face48.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face49.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face5.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face50.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face51.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face52.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face53.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face54.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face55.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face56.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face57.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face58.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face59.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face6.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face60.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face61.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face62.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face63.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face64.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face65.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face66.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face67.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face68.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face69.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face7.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face70.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face71.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face72.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face73.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face74.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face75.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face76.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face77.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face78.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face79.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face8.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face80.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face81.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face82.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face83.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face84.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face85.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face86.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face87.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face88.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face89.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face9.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face90.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face91.pgm, 374 , 2017-03-06
isomap-master\train_set\face\face92.pgm, 374 , 2017-03-06

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • VeloParis100416_1_Distribution_1.1
    基于ios3.2开发的显示武汉市免费自行车站点的小程序 很不错的学习iphone开发的代码(Developed based on ios3.2 free bike show in Wuhan is a good site to learn applet code iphone development)
    2010-07-16 23:53:50下载
    积分:1
  • Snake
    原始snake matlab 源碼,簡單版( seg = localized_seg(I,init_mask,max_its,rad,alpha,method) Inputs: I 2D image init_mask Initialization (1 = foreground, 0 = bg) max_its Number of iterations to run segmentation for rad (optional) Localization Radius (in pixels) smaller = more local, bigger = more global alpha (optional) Weight of smoothing term higer = smoother method (optional) selects localized energy 1 = Chan-Vese Energy 2 = Yezzi Energy (usually works better))
    2010-05-23 17:35:06下载
    积分:1
  • Massive-MIMO-and-Small-Cells-
    对该题目的这篇论文进行了仿真,内容为对比MASSIVE MIMO和Small cell两种模式,比较了载波能量。(The topic of this paper simulation, content and Small cell contrast MASSIVE MIMO modes, compared carrier energy.)
    2013-12-24 16:23:24下载
    积分:1
  • p1
    说明:  简单的移动通信系统,在awgn+瑞利衰落条件下,给出同SNR时系统性能(Simple mobile communication system)
    2013-06-18 22:17:07下载
    积分:1
  • audio
    基于语音的基本特征的音色,音高,音调的书语音采集和识别的基本理论pdf和matlab源码(the recognition of audio based the charastics )
    2021-05-15 22:30:07下载
    积分:1
  • Project_STM32F4_FOC_Post
    Kiel matlab project taken from website see any fault exist report me.Squirrel-cage induction motors (IM) are the workhorse of industries for variable speed applications in a wide power range that covers from fractional watt to megawatts. However, the torque and speed control of these motors is difficult because of their nonlinear and complex structure. In the past five decades, a lot of advanced control schemes for IM drive appeared. First, in the 1960’s, the principle of speed control was based on an IM model considered just for steady state. Therefore, the so-called “scalar control methods” cannot
    2014-09-15 15:00:04下载
    积分:1
  • nrz
    由MATLAB产生NRZ信号,并且以图形方式输出。(We produce NRZ signal using MATLAB,then output the signal by digure. )
    2013-05-01 11:24:36下载
    积分:1
  • GradientAdaptiveLaguerreLatticeFilter
    Gradient Adaptive Laguerre Lattice Filter( Description: Implements the order recursive adaptive laguerre filter from Fejzo and Lev-Ari (1997). Advantages: *Fewer parameter to model than FIR filters modeling long impulse responses *guaranteed stability, unique global minimum, small number of parameter for prescribed modelling error *numerically robust & and low computational complexity ( O(M) ). *Fast convergence (RLS equivalent) with no apriori learning rate required *Order recursive, so filter coefficients are uncorrelated with each other, allowing for modular implementation. Setting the pole parameter to 0 yields the standard classical gradient adaptive FIR algorithm. Includes simple example on cross-talk resistant echo cancellation to show how to use it. )
    2009-11-19 11:49:44下载
    积分:1
  • RTLS-CM
    基于雷达定位的高精度无线定位系统,一维精度可达1cm,二维精度可达5cm(High-precision radar-based wireless location positioning system, the one-dimensional accuracy of up to 1cm, dimensional accuracy is up to 5cm)
    2011-05-12 19:42:42下载
    积分:1
  • InitialPValuePODEPSolutions
    MATLAB求解ODE方程,里面的WORD文档详细介绍了各文件的作用(MATLAB ODE solving equations, the WORD document which details the role of each document is also loaded.)
    2011-06-14 10:46:02下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载