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Tuesday, 13 February 2018

Analysis of X means and global k means Using TUMOR Classification(2010)

Analysis of X means and global k means Using TUMOR Classification(2010)


Objective
Clustering is one of the important data mining techniques, which is used to group the similar objects together. The Global K mean and X mean algorithms are used to group the similar objects in clustering.
Purpose of the system
The purpose of the system, which has been developed, is to allow an end user to interact with K mean & X mean system which provides some basic features such as register as a new user, modifying the self details ,password recovery and report generation according to the technology/experience/ Qualification wise.
This project aims at providing the client with the ready information about the people registered in current system by providing access to the information system using Global K mean & X means techniques.
Advantage of the Proposed System:
  • Proposed system is user friendly.
  • The system allows us to view data of employee in different clusters, like qualification, experience and technology wise.
  • This is the implementation of Global  k – mean  and X – mean techniques.
  • We can view the clusters information graphically using graphs for easy of analysis in this system
 Modules:
1. Admin
2. Employee
3. Global K mean
4. X mean
Admin
Admin plays a major role in our system. In our system He has responsibilities on modifying content in the system. He can view all related resources and User details. He can delete an employee/user from the system. He can view reports of the registered people, which is implementation of clustering.
Employee
An employee should be registered with the system. After registration he will get user id and password. By using this login id and password he can visit his home page. He has permissions to update his personal profile. He can view the reports.   
Global K mean
Every user of the system can view the implementation of Global K means algorithm. In this module it takes the data from the data base as input and provides processed data to the viewer. That is it will analyses the existing data in the data base. Based on the selected type of employee characteristic ((Employee Qualification, Technology wise)  it will generate  the n number of clusters.
X mean
Every user of the system can view the implementation of X means algorithm. In this module it takes the data from the data base as input and provides processed data to the viewer. That is it will analyses the existing data in the data base. Then it follows the steps of K - means algorithm as a first step in X means technique .Now it will again divide the clusters in to sub clusters which is implementation of X mean technique.
HARDWARE AND SOFTWARE REQUIREMENTS
Software Requirements:
Language                        :  C#.NET
Technologies                  :  Microsoft.NET, ADO.NET, ASP.NET
Database                         :   MS SQL SERVER 2005      
IDE                                    :  Visual Studio 2008
Operating System          :  Microsoft Windows XP SP2 or Later Version
Hardware Requirements:
Processor                       : Intel Pentium or more
RAM                                  : 512 MB (Minimum)
Hard Disk                        : 40 GB

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