Scopus Indexed Paper

Paper Details


Title
Improving Classification Model's Performance Using Linear Discriminant Analysis on Linear Data
Abstract
Classification is a supervised learning technique for predicting the class of given data points. Before doing classification, it is essential to build a classification model using classification algorithms. There are several classification algorithms which can be used for prediction. Linear Discriminant Analysis (LDA) is used for reducing the dimensionality of datasets. This paper represents how LDA improves different classification model's performance.
Keywords
Classification, Linear Discriminant Analysis, Dimensionality Reduction, Feature Extraction
Authors
Joyoshree Ghosh, Shaon Bhatta Shuvo
Phone
Journal or Conference Name
2019 10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019
Publish Year
2019
Indexing
Scopus