Cube Sampled K-Prototype Clustering for Featured Data

@article{Jain2021CubeSK,
  title={Cube Sampled K-Prototype Clustering for Featured Data},
  author={Seemandhar Jain and Aditya A. Shastri and Kapil Ahuja and Yann Busnel and Navneet Pratap Singh},
  journal={2021 IEEE 18th India Council International Conference (INDICON)},
  year={2021},
  pages={1-6}
}
Clustering large amount of data is becoming increasingly important in the current times. Due to the large sizes of data, clustering algorithm often take too much time. Sampling this data before clustering is commonly used to reduce this time. In this work, we propose a probabilistic sampling technique called cube sampling along with K-Prototype clustering. Cube sampling is used because of its accurate sample selection. K-Prototype is most frequently used clustering algorithm when the data is… 
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