Unsupervised learning algorithms to detect anomaly in waves

1. Which algorithm is best for anomaly detection?
2. Which machine learning technique is used for anomaly detection?
3. What are the different methods used for unsupervised learning for anomaly detection explain with examples?

Which algorithm is best for anomaly detection?

Local outlier factor (LOF)

Local outlier factor is probably the most common technique for anomaly detection. This algorithm is based on the concept of the local density. It compares the local density of an object with that of its neighbouring data points.

Which machine learning technique is used for anomaly detection?

Supervised Machine Learning Technique for Anomaly Detection: Logistic Regression.

What are the different methods used for unsupervised learning for anomaly detection explain with examples?

Baseline Algorithm for Anomaly Detection with underlying Mathematics. Evaluating an Anomaly Detection Algorithm. Extending Baseline Algorithm for a Multivariate Gaussian Distribution and the use of Mahalanobis Distance. Detection of Fraudulent Transactions on a Credit Card Dataset available on Kaggle.