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