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process of clustering has been vs process of clustering is

Both phrases are correct, but they are used in different contexts. 'Process of clustering has been' is used when referring to a past action or event, while 'process of clustering is' is used when talking about a current or ongoing action. Therefore, the choice between the two depends on the timeframe you are referring to.

Last updated: March 21, 2024 • 477 views

process of clustering has been

This phrase is correct when referring to a past action or event related to clustering.

This phrase is used to describe a clustering process that has already taken place or been completed in the past.

Examples:

  • The process of clustering has been completed successfully.
  • The process of clustering has been a key focus of our research.
  • process of clustering has been used to describe target customer's behavior in marketing and CRM [16]. In this research, the two clustering methods have been.
  • process of clustering has been neglected so far. The purpose of my paper is to address this research gap. This paper will seek to find answers for two main ...
  • After genetically classification through the values getting from oral and lung cancer the process of clustering has been done, to precise the information more ...
  • The process of clustering has been used in networks for grouping up of nodes and making them function as a single entity rather than independent entities.

Alternatives:

  • The process of clustering was
  • The clustering process has been
  • Clustering has been processed
  • The clustering process was

process of clustering is

This phrase is correct when referring to a current or ongoing action related to clustering.

This phrase is used to describe a clustering process that is currently happening or ongoing.

Examples:

  • The process of clustering is essential for data analysis.
  • The process of clustering is still in progress.
  • The process of clustering is also known as un supervisory or machine learning. Weka is a popular tool for machine learning which was written in java. The Weka  ...
  • of samples and the process of clustering is to measure the similarity and or dissimilarity between given samples. The output of the clustering is a number of ...
  • An example of a simple criterion is minimizing the total number of clusters; in Section 3.6 we will describe the criterion we use. The process of clustering is made ...
  • process of clustering is different depending on the type of the input data. For this example of cluster analysis is the least appropriate to use standardized data, ...

Alternatives:

  • The process of clustering continues to be
  • The clustering process is
  • Clustering is being processed
  • The clustering process remains

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