A Novel Determination of An Appropriate Clustering Quantity of A Water-Soluble NPK Nutrient Measuring System Based on K-means and SOM Methods
Author:
Affiliation:
1. Rajamangala University of Technology Krungthep,Department of Electrical Engineering and Telecommunication,Bangkok,Thailand
2. Dhurakij Pundit University,Institute of Lifelong Learning,Bangkok,Thailand
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9741561/9741562/09741588.pdf?arnumber=9741588
Reference14 articles.
1. Unsupervised K-Means Clustering Algorithm
2. Vegetable Disease Detection Using K-Means Clustering And Svm
3. A Feature-Reduction Multi-View k-Means Clustering Algorithm;miin-shen;IEEE Access,2019
4. Tracking Unspecified Detected Targets By Propagating Instantly Created Self-Organizing Maps
5. hSOM: Visualizing Self-Organizing Maps to Accomodate Categorical Data
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1. Obesity Prediction Approach Based Habit Parameter and Clinical Variable Using Self Organizing Map;Lecture Notes in Electrical Engineering;2024
2. New Approach Motion Determination in Pencak Silat Sport using Self Organizing Map;2023 Sixth International Conference on Vocational Education and Electrical Engineering (ICVEE);2023-10-14
3. A Novel Determination of Soluble NPK Nutrient Measurement System Using K-means and SOM Methods Compared with UV Visible Spectrophotometer;2023 International Electrical Engineering Congress (iEECON);2023-03-08
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