Cluster Visualization

-> http://www.cis.hut.fi/research/som-research/nnrc-programs.shtml
-> http://www.cis.hut.fi/research/som_pak/binaries_windows/

http://www.ewas.de/tables/bertin.r
http://www.ewas.de/tables/

                   A B C D E F G H I J K L M N O P
High School        0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0
Agricultural Coop. 0 1 1 1 0 0 1 0 0 0 0 1 0 0 1 0
Railway Station    0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0
One-Room-School    1 0 0 0 1 1 0 0 1 1 0 0 1 1 0 1
Veterinary         0 1 1 1 0 0 1 0 0 0 0 1 0 0 1 0
No Doctor          1 0 0 0 1 1 0 0 1 1 0 0 1 1 0 1
No Water Supply    0 0 0 0 0 0 0 0 1 1 0 0 1 1 0 0
Police Station     0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0
Land Reallocation  0 1 1 1 0 0 1 0 0 0 0 1 0 0 1 0

> bertin(bertin.mat)                   
                   I J N M A F P E H K G C B O D L
Land Reallocation  0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1
Veterinary         0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1
Agricultural Coop. 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1
High School        0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0
Railway Station    0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0
Police Station     0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0
No Water Supply    1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0
No Doctor          1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0
One-Room-School    1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0

Run1: fitness = -150
Run2: fitness = -150
Run3: fitness = -150

iPlots is a package for R statistical environment (see www.r-project.org) which provides high interaction statistical graphics, written in Java.
-> http://www.rosuda.org/iPlots/index.shtml

iPlots is packaged together with JGR, a Java-based GUI for R.
-> http://stats.math.uni-augsburg.de/JGR/

iPlots provides interactive scatter-, histo- and barplots. Interactivity basically means reformatting the graph (rescaling, rotating,..) and selecting certain data points.

iWidget is also part of JGR and allows the addition of interactive sliders, buttons, etc. to a plot!

w <- iwindow()
add(w, igraphics())
a <- rnorm(100)
plot(density(a))
islider(1, window=w, handler=function(h,...)
    plot(density(a, bw=get.value(h$obj)/300)))
visible(w,TRUE)

More highly interesting software packages can be found here:
-> http://www.rosuda.org/software/

Exploratory data analysis with focus on large data and databases.

Mondrian is a statistical data-visualization system written in JAVA. The main emphasis of Mondrian is on visualization techniques for Categorical Data , Geographical Data and LARGE Data.

-> http://www.rosuda.org/Mondrian/

Mosaicplots, Barcharts, Maps, Parallel Coordinates, Boxplots, Scatterplots, Histograms.

Interesting technique: using semi-transperancy to deal with large data
-> http://www.rosuda.org/Mondrian/Mondrian.html#alpha

Interactive highlighting of several datapoints (i.e. lines) is possible.

CLUTO
CLUTO is a software package for clustering low- and high-dimensional datasets and for analyzing the characteristics of the various clusters. CLUTO is well-suited for clustering data sets arising in many diverse application areas including information retrieval, customer purchasing transactions, web, GIS, science, and biology.
Status: not yet evaluated
http://www-users.cs.umn.edu/~karypis/cluto/index.html

gCLUTO
a graphical Cluster Toolkit based upon CLUTO
http://www-users.cs.umn.edu/~karypis/cluto/gcluto/index.html (manual)
Status: first experiments with demo dataset and twoday dataset (also see here)
Note: quite impressive little program to generate matrix visualizations and mountain views of clusterings.

METIS
METIS is a family of programs for partitioning unstructured graphs and hypergraphs and computing fill-reducing orderings of sparse matrices.
Status: not yet evaluated
http://www-users.cs.umn.edu/~karypis/metis/index.html

cviz
A visualization tool designed for analyzing high-dimensional data in large, complex data sets.
Status: evaluated
Note: CViz is a deprecated, un-impressive, non-interactive cluster tool with a restrictive user's license.see screenshot
http://www.alphaworks.ibm.com/tech/cviz