Our aim is to come up with a sound and concrete solution so that the gigantic volume of unsorted data could be fitted in to a virtual hierarchy to make extracting relevant data more feasible.
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Recently we did a research on selecting the best clustering alogorithm which optimize our requirements in the project. Currently we are preparing the system design documentation.
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Technologies we used
Algorithms
 

SOM - Self Organizing Maps
SOM is an unsupervised clustering algorithm which is heavily used in clustering world.
 

GSOM - Growing Self Organizing Maps
GSOM is a extended version of som which fueled with more dynamic features.
 

To read more about these algorithms please go to the related links.
Languages
  We implement this project using C#.