用BFR算法对32万个高维数据点做的聚类,precision rate: 99%
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Updated
Jul 19, 2021 - Python
用BFR算法对32万个高维数据点做的聚类,precision rate: 99%
Python implementation of BFR/K-Means algorithms used for large data clustering
A data mining project using the Bradley-Fayyad-Reina (BFR) algorithm
This clustering process iteratively applies K-Means on subdivided data, refining clusters through outlier identification and Mahalanobis Distance measurements, culminating in an optimized segmentation of the dataset into distinct, statistically significant clusters.
Implementing the BFR algorithm for community detection
USC DSCI 553 - Foundations & Applications of Data Mining - Spring 2024 - Prof. Wei-Min Shen
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