Kmap Clustering Demo
Suppose you just returned from 2 weeks vacation
and are sorting the mail that's accumulated into piles -- bills,
personal mail, magazines, junk mail, etc. In some ways, that's what a
Kohonen neural network clustering program
does, with one big plus -- it arranges the piles into a two-dimensional array in such a
way that two piles next to each other are more "alike" than two piles that
are farther apart.
You can see and interact with some results
yourself as soon as the
green "GO" buttons appear.
NEW: Prescription Pattern Demo
Here, Kmap displays Neuralware clustering results on the prescription patterns
of a set of doctors. The actual names of the drugs have been substituted by the condition they are designed to treat.
Note that the header of the topten drilldown table now
provides a breakdown by specialty of the doctors who are prescribing
the drugs in the chosen segment.
A minute or so after you hit the green GO button you should see a 6x6 grid
showing the top 3 items purchased by each of 36 segments of customers.
In each segment,
the darkness of the outside color indicates population, while the inside
color indicates mean spending.
Right-click on a segment and the popup menu gives you access to two very
powerful drilldowns. You can also choose 7 different sort keys from
"Sort By" on the menubar.
Credit Line Usage Demo
IBM Intelligent Miner's
Kohonen clustering method to
data on the fraction of total credit line used by 1000
households over a 12-month period.
The fraction stayed pretty constant at
for the population as a whole (top graph),
but the 2x2 Kohonen map in the middle shows the population
has at least 4 different segments, whose outstanding balances
are (0) constantly high, (1) falling, (2) rising, and (3) constantly low.
The color of each square indicates its population;
the exact number is available via a
right mouse click.
The 4x4 map (bottom) shows even more different patterns, but the Kohonen
network has pulled a little trick on us: the rows and columns are
flipped with respect to the 2x2 map, which makes comparison difficult.
No problem! Pull down the View menu, select flip rows & columns,
We could continue on up to more segments, but the point is made:
this population has numerous patterns of credit usage, and knowing
this can be invaluable in tailoring a marketing strategy.
Stock Price Behavior Demo
Here we show some of the "drill-down" capability of the Kmap visualizer.
end-of-month closing prices for the S&P 500 stocks
were divided into 64 segments using
Intelligent Miner's neural clusterer.
If you right-click on
the square for node 0 , you'll see that the popup menu now lists the
stocks in that segment. Exxon and Shell are both there.
How similar were they?
Right-click to get the popup menu and select
to see the individual
behavior of the stocks in this segment.
How did Texaco do by comparison? Pull down View, click
Find what segment ..., select Texaco from the list, and push Find:
Segment 32 should turn yellow. Right-click on segment 32, and you'll see
Mobil in there too.
You may have other questions. Have fun exploring!
The Kmap visualizer used in this demo was created by
using the JCChart Java Beans package from