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Apache Mahout Essentials by Jayani Withanawasam

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Optimizing clustering performance

Developing a clustering algorithm without having any programming errors may not give you the expected results. There are many factors to consider based on the application's context and the requirements.

Selecting the right features

Selecting the right features requires a comprehensive knowledge of the applied domain. You can ensure that you select the right features to accurately represent the problem domain using the following techniques:

  • Selecting and weighing features properly
  • Normalizing dimensions when values are not comparable (For example, the number of bedrooms in a house and the land price in dollars are not comparable in their innate forms.)
  • Using effective preprocessing mechanisms (custom Lucene analyzers ...

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