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process of clustering is done vs process of clustering is used

Both phrases are correct, but they are used in different contexts. 'Process of clustering is done' is used when referring to the completion of the clustering process, while 'process of clustering is used' is used when discussing the utilization of clustering in a particular context.

Last updated: March 21, 2024 • 483 views

process of clustering is done

This phrase is correct and commonly used when referring to the completion of the clustering process.

This phrase is used to indicate that the process of clustering has been completed or finished.

Examples:

  • The process of clustering is done once all the data points have been grouped together.
  • After the process of clustering is done, the next step is to analyze the clusters.
  • Make sure the process of clustering is done accurately to obtain meaningful results.
  • Initial process of clustering is done by the base station. The base station initiates the process by sending an energy request message to all the nodes to respond.
  • evaluated after the process of clustering is done. Two validation criteria described in [34] are used in this study. The first criterion used is the compactness of a ...
  • The process of clustering is done when more than a single sequence, are representative of the same transcript. At this point, tentative clusters (TCs) are ...
  • clustering. The process of clustering is done by three methods:-. • Grid partitioning: The input space is partitioned in number of grids where the fuzzy rules share.

Alternatives:

  • clustering process is completed
  • clustering process is finished
  • clustering process is concluded
  • clustering process is finalized
  • clustering process is accomplished

process of clustering is used

This phrase is correct and commonly used when discussing the application or utilization of clustering in a specific context.

This phrase is used to indicate that the process of clustering is applied or utilized in a particular situation or analysis.

Examples:

  • The process of clustering is used to group similar data points together.
  • In data analysis, the process of clustering is used to identify patterns in the data.
  • The process of clustering is used in machine learning to segment data into meaningful clusters.
  • The process of clustering is used to place similar items together into a related group. Various clustering techniques such as k-means algorithm, canopy, spectral.
  • deleted, and the surviving tracks are kept for the next stage. 3) The process of clustering is used to put altogether the tracks that share common measurements.
  • The process of clustering is used to assign the q feature vectors into K clusters, for each kthcluster Ckis its center. Fuzzy Clustering has been used in many fields  ...
  • Jul 12, 2006 ... process of clustering is used to construct a classi?er for some data spaces. Classi ?cation is the task of assigning data points to one or more of ...

Alternatives:

  • clustering process is applied
  • clustering process is utilized
  • clustering process is implemented
  • clustering process is employed
  • clustering process is leveraged

Related Comparisons

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