Sophia, S. and Thanammal, K. and Sujatha, S. (2021) Energy Efficient Medical Data Dimensionality Reduction using Optimized Principal Component Analysis. EAI Endorsed Transactions on Energy Web.
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Abstract
INTRODUCTION: The method of minimizing the number of random variables or attributes from the enormous data set is the reduction of dimensionality. The space available for storing the database is therefore minimized by decreasing the scale
of the features.
OBJECTIVES: The PCA algorithm is
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 14:51 |
| Last Modified: | 17 Apr 2026 08:12 |
| URI: | http://eprints.eai.eu/id/eprint/36815 |
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