The aim of this study is to develop a system that diagnoses
cardiovascular disease using Subtractive Clustering and Artificial Neural
Networks Algorithms.
The objectives are to:
The simulation tool used for implementing the methods is MATrix LABoratory (MATLAB) R2013a on a computer system with 64 bits Windows 10 operating system with memory capacity of 4GB and Intel (R) Core (TM) i5-M520 2.40GHz processor speed.
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- Cluster cardiovascular disease dataset using Subtractive
Clustering.
- Classify the clustered cardiovascular disease dataset using Artificial Neural Network (ANN).
- Evaluate the performance on the system.
The simulation tool used for implementing the methods is MATrix LABoratory (MATLAB) R2013a on a computer system with 64 bits Windows 10 operating system with memory capacity of 4GB and Intel (R) Core (TM) i5-M520 2.40GHz processor speed.
If you buy this mint (i.e source code) now, you will get lifetime mint updates for free.
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