WfccmMultidimensionalScaling < Main < Vanderbilt Biostatistics Wiki

You are here: Vanderbilt Biostatistics Wiki>Main Web>Projects>MicroArrayMassSpec>WfccmNotes>WfccmMultidimensionalScaling (17 Aug 2005, HuimingLi) (raw view)EditAttach

<noautolink>
---+ Multidimensional Scaling

%TOC%

---++ Design: 

---+++ %BLUE%Detailed Time Line and Tasks%ENDCOLOR%

*Specification* ==Apr 18-May 27== %GRAY%6 weeks%ENDCOLOR% 
   1. Determine algorithm(s) to aquire 3D data.
   1. Determine interface requriments.
   1. Determine output requriments.
   1. Begin studying DirectX

*Design* ==May 30-July 1== %GRAY%5 weeks%ENDCOLOR%
   1. Design objects needed from requirments. 
   1. Create wiki pages containing objcets, methods, members and algorithms.

*Implementaiton* ==July 5-Jul 29== %GRAY%4 weeks%ENDCOLOR% 
   1. Implement objects.
   2. Build the interface.
   3. Testing
      
*Testing* ==Aug 01-Aug 12== %GRAY%2 weeks%ENDCOLOR%
   1. Test to ensure complete, correct product.

*Timeline modifications*
   1. 2 weeks added to spec on 2005-05-23
   1. 1 weeks removed from design on 2005-05-23
   1. 1 weeks removed from testing on 2005-05-23

   (huiming)
   2. 1 weeks added to design on 2005-06-17
   2. 1 weeks removed from implementation on 2005-06-17

   (huiming 2005-07-10)
   3. Since the algorithm wouldn't be implemented, testing time merged into implementation.  
   3. Testing 2 weeks removed 


%BLUE% *The Basic Concept of Multidimensional Scaling* %ENDCOLOR% 


The following is the basic explanation of Multidimensional Scaling-- the 3D graph.

Multidimensional scaling (MDS) allows you to visualize how near points are to each other for many kinds of distance or dissimilarity measures and can produce a representation of your data in a small number of dimensions. MDS does not require raw data, but only a matrix of pairwise distances or dissimilarities.

 

MDS takes as an input a matrix of interpoint distances and creates a configuration of points by some mathematical matrix manipulation. Ideally, those points are in two or three dimensions, and the Euclidean distances between them reproduce the original distance matrix. Thus, a scatter plot of the points created by MDS provides a visual representation of the original distances. See the attachment below. 

</noautolink>


---++ *Team Members*
   * ShuoChen
   * NimishGautam
   * HuimingLi
   * MingLi
   * HeidiChen

---++[[MutiScalingWeeklyReprots][Weekly Reports]]

---++[[MutiScalingDesign][Design]]

<noautolink>
---++ Useful Links
     C# OpenGL:  http://csgl.sourceforge.net/

     An example: http://www.exocortex.org/3dengine/

     Direct3D: http://www.drunkenhyena.com/docs/d3d_tutorial.php

</noautolink>

   * [[%ATTACHURL%/InstructionsofMulti.doc][InstructionsofMulti.doc]]: a simple user manual

Topic attachments
I	Attachment	Action	Size	Date	Who	Comment
doc	InstructionsofMulti.doc	manage	20.0 K	17 Aug 2005 - 15:21	HuimingLi	a simple user manual
pdf	pavis.pdf	manage	3160.2 K	20 May 2005 - 16:19	ShuoChen	The Multidimensional scaling method research

Topic revision: r13 - 17 Aug 2005, HuimingLi

Main

Department Home Page

Biostatistics Graduate Program

Vanderbilt University Medical Center

Biostatistics Webs
- Archive
- Main
- Sandbox
- System

Copyright © 2013-2022 by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
Ideas, requests, problems regarding Vanderbilt Biostatistics Wiki? Send feedback