Table 2. Summary of the big data analytics in unsupervised learning mechanisms.
| Paper | AI technique | Scalability | Efficiency | Precision | Privacy |
|---|---|---|---|---|---|
| Ianni et al. (2020) | Centroid-based clustering | √ | √ | √ | X |
| Wang, Tsai & Ciou (2020) | RFM, K-means, Naïve Bayes, Bloom filters |
X | √ | √ | X |
| Ip et al. (2018) | Markov random fields | √ | X | √ | X |
| Pulgar-Rubio et al. (2017) | Multi-objective evolutionary fuzzy systems | √ | √ | √ | X |