by Association of Scientists, Developers and Faculties in Tiruppur, Tamil Nadu, India .
Written in English
Early identification of Alzheimer"s disease (AD) from the Ageing Movement Control (AC) is very important. However, the computer aided diagnosis (CAD) was not widely used, and the classification performance did not reach into practical use. Existing System has a novel CAD system for MRI brain images based on eigenbrains and machine learning with focus on two things: accurate detection of both AD subjects and AD related brain regions. The eigenbrain method was effective in AD subject prediction and discriminated brain region detection in MRI scanning. But, the results showed that existing method achieved 92.36% accuracy, which was competitive with state-of-the-art methods. We, Propose a system to improve the accuracy and easy computation of identification through MRI images based on K-Means Clustering.