USC DSCI 553 - Foundations & Applications of Data Mining - Spring 2024 - Prof. Wei-Min Shen

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

Implementing the BFR algorithm for community detection

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.

A data mining project using the Bradley-Fayyad-Reina (BFR) algorithm