Feature Selection and Dimensionality Reduction for Large Data set Clustering using Self-Organizing Maps

Data mining is a form of analyzing the data which relates the newline techniques from fields like statistics machine learning databases artificial newline intelligence etc Clustering is one of the most important data mining newline techniques in which cluster of objects are grouped based on their similarity newline "Clustering is the process of accumulating the data records into considerable newline subclasses clusters in a way which enhances the relationship within clusters newline and reduces the similarity among two different clusters. The activity occurs every new academic year and schools with plenty of new students registered may feel a bit overwhelmed with this grouping assignment. A decision support system which can automatically perform grouping on a list of students may be able to help the school’s staffs with this repetitive task. A self-organizing map (SOM) is an example of unsupervised learning algorithm using an artificial neural network structure to produce a low dimensional representation from a given input.

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Publication Details

Journal
Journal of Advances and Scholarly Researches in Allied Education
Published
2024-09-03
DOI
https://doi.org/10.29070/vwq5ec69
Primary Topic
Face and Expression Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Feature Selection and Dimensionality Reduction for Large Data set Clustering using Self-Organizing Maps

Mohit Gupta, Gyan Chand Sharma
Journal of Advances and Scholarly Researches in Allied Education
Face and Expression Recognition
article

Feature Selection and Dimensionality Reduction for Large Data set Clustering using Self-Organizing Maps

Mohit Gupta, Gyan Chand Sharma
article en

Abstract

Data mining is a form of analyzing the data which relates the newline techniques from fields like statistics machine learning databases artificial newline intelligence etc Clustering is one of the most important data mining newline techniques in which cluster of objects are grouped based on their similarity newline "Clustering is the process of accumulating the data records into considerable newline subclasses clusters in a way which enhances the relationship within clusters newline and reduces the similarity among two different clusters. The activity occurs every new academic year and schools with plenty of new students registered may feel a bit overwhelmed with this grouping assignment. A decision support system which can automatically perform grouping on a list of students may be able to help the school’s staffs with this repetitive task. A self-organizing map (SOM) is an example of unsupervised learning algorithm using an artificial neural network structure to produce a low dimensional representation from a given input.

Journal of Advances and Scholarly Researches in Allied EducationVol. 21(1)
University of Technology (RU)
Openalex Percentile: Top 86%
Face and Expression Recognition
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