O'Reilly logo

Learning Data Mining with R by Bater Makhabel

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Intrusion detection and clustering-based methods

The strategy of outlier detection technologies based on the clustering algorithm is focused on the relation between data objects and clusters.

Hierarchical clustering to detect outliers

Outlier detection that uses the hierarchical clustering algorithm is based on the k-Nearest Neighbor graph. The input parameters include the input dataset, DATA, of size, n, and each data point with k variables, the distance measure function (d), one hierarchical algorithm (h), threshold (t), and cluster number (nc).

Hierarchical clustering to detect outliers

The k-means-based algorithm

The process of the outlier detection based on the k-means algorithm is illustrated ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required