Accuracy Improvement using Machine Learning by Objects Count Based Feature selection method on Biological Data of Human Ancestors
Keywords:
Feature Selection,dimensionality reduction, Filter Method, Wrapper Method, Embedded Method, Hybrid feature selection.Abstract
In the present era huge data is generated by the IOT devices, mobiles, laptops and systems and stored either in data basesor files. Technique of Clustering is a used to extract the data from the data baseor files. Improving clustering accuracy always depends on the feature selection method. So feature selection always depends on choose of best feature selection method like wrapper, filter, embedded and hybrid.The original data set or data source's redundant, unnecessary, and noisy features can also be eliminated using feature selection techniques. Feature selection methods are used to reduce the computational costs, increases the accuracy, dimensionality is reduced and model is predictable.
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