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Clustering

Clustering is the task of dividing the population or data points into a number of groups such that data points in the same groups are more similar to other data points in the same group than those in other groups. In simple words, the aim is to segregate groups with similar traits and assign them into clusters.

Clustering has a large no. of applications spread across various domains. Some of the most popular applications of clustering are:

  • Recommendation engines

  • Market segmentation

  • Social network analysis

  • Search result grouping

  • Medical imaging

  • Image segmentation

  • Anomaly detection

Feature Selection

Using factor analysis of variance to select the subset of relevant features for constructing the clustering model. READ MORE....

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