Analysis of Crime Data Visualization and Clustering: PCA + K-Means vs. Feature Extraction-Reference-Cited by-同舟云学术

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Analysis of Crime Data Visualization and Clustering: PCA + K-Means vs. Feature Extraction

Published:2023-11-02 Issue: Volume: Page:
ISSN:
Container-title:2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)
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Author:

Dixit Vibhu¹,T Padmashree²

Affiliation:

1. RV College of Engineering ®,Dept. of EEE.,Bengaluru,India

2. RV College of Engineering ®,Dept. of ISE.,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10333972/10333315/10334126.pdf?arnumber=10334126

Reference9 articles.

1. A survey of feature selection and feature extraction techniques in machine learning

2. Data analysis using principal component analysis

3. Research on the Application of K-Means Clustering Algorithm in Student Achievement

4. K-means clustering via principal component analysis

5. An Improved K-means Clustering Algorithm

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