Re: How to use clustering for a course project (DBScan and KMeans)?
Date: April 26, 2011 11:37PM
DBScan and KMEANS have a lot of applications. I give you some examples.
It can be used for example to cluster customers of a bank that have similar characteristics (type of accounts, sex, age, etc.). Then the bank could use this to take some decision about similar customers. For example, it could be used to assess if you are likely to pay back money that you have borrowed from the bank.
Clustering could be also used in e-learning to dynamically create teams for learning activities.
For the source code of these algorithms, I think that you can search Google. K-Means and DBScan are very famous algorithms so it should be easy to find some source code if you don't want to program these algorithms by yourself.
But I encourage you to try to program these algorithms by yourself since they are easy to implement.
There is a pretty good description of DBScan on Wikipedia :
And KMeans :