A Survey on Clustering Based Feature Selection Technique Algorithm for High Dimensional Data

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Provided by: International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
Topic: Data Management
Format: PDF
A high dimensional data is enormous issue in data mining and machine learning applications. Feature selection is the mode of recognize the good number of features that produce well-suited outcome as the unique entire set of features. Feature selection process constructs a pathway to reduce the dimensionality and time complexity and also improve the accuracy level of classifier feature selection involves identifying a subset of the most useful features that produces compatible results as the original entire set of features.
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