Python implementation of the fuzzy data stream clustering algorithm from the article d-FuzzStream: A Dispersion-Based Fuzzy Data Stream Clustering.
- main.pdf — review of the article (russian)
- d_fuzzstream — source code
- make_gif.py — testing code (demo generator)
Colored dots represent data stream examples from the dataset Bench1_11k. Blue circles represent FMiCs, and their radiusis are calculated with respect to the Algorithm 1 from the article — the minimum distance to the nearest FMiC’s prototype if N=1 and the fuzzy dispersion otherwise.
