Beginning Anomaly Detection Using

semi-supervised anomaly detection when applied in the manner 

implemented in this section.

 Summary

In this chapter, we discussed traditional methods of anomaly detection and how they 

can be used to implement anomaly detection in an 

unsupervised and semi-supervised 

manner.

In the next chapter, we will look at the advent of deep learning networks

.

Figure 2-57.  The resulting output. 1 stands for normal data points, and -1 stands 

for anomaly data points

Chapter 2   traditional Methods of anoMaly deteCtion

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© Sridhar Alla, Suman Kalyan Adari 2019 

S. Alla and S. K. Adari, Beginning Anomaly Detection Using Python-Based Deep Learning,  

https://doi.org/10.1007/978-1-4842-5177-5_3