Hands-On Artificial Intelligence for Cybersecurity

Clustering algorithms

Different types of clustering algorithms are conceivable, from the simplest and most intuitive, to the most complex and abstract ones.

Some of the most commonly used algorithms are listed as follows:

• K-Means: One of the most widespread among the unsupervised clustering algorithms. K-Means can enlist among its strengths the simplicity of implementation and the capability of unveiling hidden patterns within the data. This can be achieved by proceeding to the independent identification of possible labels.

• K-NNs: This is an example of a lazy learning model. The K-NN algorithm only starts working in the evaluation phase, while in the training phase it simply limits itself to memorizing the observational data. Due to these ...