Create wiki pages containing objcets, methods, members and algorithms.
ImplementaitonJuly 5-Jul 294 weeks
Implement objects.
Build the interface.
Testing
TestingAug 01-Aug 122 weeks
Test to ensure complete, correct product.
Timeline modifications
2 weeks added to spec on 2005-05-23
1 weeks removed from design on 2005-05-23
1 weeks removed from testing on 2005-05-23
(huiming)
1 weeks added to design on 2005-06-17
1 weeks removed from implementation on 2005-06-17
(huiming 2005-07-10)
Since the algorithm wouldn't be implemented, testing time merged into implementation.
Testing 2 weeks removed
The Basic Concept of Multidimensional Scaling
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.