Exploring data by PCA and k-means for IEEE Xplore digital library
Author:
Affiliation:
1. Faculty of Engineering, University District, Francisco José de Caldas, Carrera 8 # 40 - 62, Bogotá, Colombia
2. Faculty of Administrative, Sciences Foundation University, Los Libertadores, Carrera 16 # 63 A -- 68, Bogotá, Colombia
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2925995.2926007
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3. e-learning materials development
4. Real-time resource location data collection and visualization technology for construction safety and activity monitoring applications
5. FRFT-based improved algorithm of unsupervised change detection in SAR images via PCA and K-means clustering
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1. A hybrid reciprocal model of PCA and K-means with an innovative approach of considering sub-datasets for the improvement of K-means initialization and step-by-step labeling to create clusters with high interpretability;Pattern Analysis and Applications;2021-05-12
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