Intro

Unsupervised Learning is a type of machine learning in which the algorithm is not provided with any pre-assigned labels or scores for the training data.

Algorithms

1. Clustering

• K-Means
• DBSCAN
• Hierachial Cluster Analysis

2. Anomaaly Dectection and Novelty Detection

• One-class SVM
• Isolation Forest

3. Visualization and dimensionality reduction

• Principal Component Analysis
• Kernel PCA
• Locally Linear Embedding
• t-Distributed Stochasting Neighbor Embedding

4. Association Rule Learning

• Apriori
• Eclat