K - mean AND CURE clustering algorithm in C++

Clustering algorithm implemented usind K Mean and CURE

methodology (DATA MINING)completely in C++ without third party dlls, Database will contain 10 fields all numbers, to be used as 10 dimensions. Results should include dimensions of Clusters and time taken for running the algorithm etc and all logging information.

It **must** be able to be used for large database, for datamining

Sample database will be provided for 1000 and 10000 data, but it should be scalable to more data.

First phase will end with K mean implementation

and Second phase with CURE algorithm

this is a sample of the database

single record of the database with 10 fields : -

21726 26441 91015 25683 50632 78708 97862 93197 97904 29529

## Deliverables

1) Complete and fully-functional working program(s) in executable form as well as complete source code of all work done.

2) Installation package that will install the software (in ready-to-run condition) on the platform(s) specified in this bid request.

3) Exclusive and complete copyrights to all work purchased. (No GPL, 3rd party components, etc. unless all copyright ramifications are explained AND AGREED TO by the buyer on the site).

## Platform

Windows and Linux should be pure C++

Habilidades: Programação C, Administração de Bancos de Dados, Engenharia, Linux, Microsoft, MySQL, PHP, Arquitetura de software, Teste de Software, SQL, UNIX, Área de trabalho do Windows

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Acerca do Empregador:
( 5 comentários ) France

ID do Projeto: #2995680

2 freelancers are bidding on average $62 for this job


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$39.1 USD in 25 dias
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$84.15 USD in 25 dias
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