Review Article
Involvement of Machine Learning for Breast Cancer Image Classification: A Survey
Table 4
A simplified hierarchy of classification.
| Learning technique | Algorithm |
| Supervised | Conventional | (a) Logic based | ID3, C4.5, bagging, | random trees, Random Forest, | boosting, advanced boosting, | Extreme Boosting (XGBoosting). | (b) Bayesian | Naive Bayes | Bayesian Network | (c) Conventional Neural Network | (d) Support Vector Machine | DNN-based | (a) Convolutional Neural Network (CNN), | (b) Deep Belief Network (DBN), | (c) Generative Adversial Network (GAN). |
| Unsupervised | Conventional | (a) -Means Clustering | (b) Self-Organizing Map (SOP) | (c) Fuzzy -Means Clustering (FCM) | DNN-based | (a) Deep Belief Network (DBN) |
| Semisupervised | Conventional | (a) Self-training | (b) Graph Based | (c) S3V3 | (d) Multiview | (e) Generative model |
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