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Methods for anomaly detection (outlier detection) on UCI ML Breast Cancer Wisconsin (Diagnostic) dataset

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anomaly_detection

methods for anomaly detection (outlier detection) on Iris Data

models

  • Clustering
    • k means
    • hierarchical clustering
    • Density-based spatial clustering of applications with noise
  • Neural Networks
    • Replicator Neural Networks (RNN)
    • Autoencoders
  • Principal Component Classifier (PCC)
  • Support Vector Machines (SVM)
  • Bayesian Networks
  • Hidden Markov Models (HMMs)

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Methods for anomaly detection (outlier detection) on UCI ML Breast Cancer Wisconsin (Diagnostic) dataset

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