For clustering of the vs Results of clustering by

Both phrases are correct, but they are used in different contexts. 'For clustering of the' is used when referring to the process of clustering data, while 'results of clustering by' is used when discussing the outcomes or findings of a clustering analysis.

Last updated: March 17, 2024 • 504 views

For clustering of the

This phrase is correct and commonly used when discussing the process of clustering data.

This phrase is used to indicate the purpose or objective of clustering data, highlighting the action of clustering.

Examples:

The algorithm is used for clustering of the data points.
Feature selection is crucial for clustering of high-dimensional data.
The software tool provides options for clustering of the input data.

Show examples from the web [+]

In this paper, a new two-level algorithm for clustering of the SOM is proposed. The clustering at the second level is agglomerative hierarchical clustering.
First, we used simple toy data for demonstrating the need for clustering of the SOTM. Second, we present applications in two real-world settings: financial ratios ...
Feb 14, 2015 ... These dummies give you individual specific intercepts but they do not account for clustering of the errors within individual - and this is what you ...
compare similarity measures for clustering of the QRS complexes. Distance measures widely used in the time domain. ECG classification algorithms include the ...

Alternatives:

for the clustering of
for clustering data
for grouping the data using clustering
for the purpose of clustering
for data clustering

Results of clustering by

This phrase is correct and commonly used when discussing the outcomes or findings of a clustering analysis.

This phrase is used to describe the findings, outcomes, or results obtained from a clustering analysis, emphasizing the process of clustering.

Examples:

The results of clustering by K-means algorithm are promising.
We analyzed the results of clustering by hierarchical clustering.
The study presents the results of clustering by DBSCAN.

Show examples from the web [+]

Jul 15, 2014 ... The results of clustering (by either the 'k-means' or 'Neural network' methods) can also be updated manually in the preview cluster viewing and ...
Bayon selects documents randomly during clustering, so you can get the different results of clustering by specifying a different seed value of random number ...
Figure 1: Results of clustering by route similarity. Left: the routes of the trucks from depot 1. Right: Four biggest clusters of trajectories from depot 2. Analogously ...
This paper presents preliminary results of clustering by geospatial location and color. The clustering algorithm discussed in this paper is a non-hierarchical ...

Alternatives:

clustering results by
outcomes of clustering using
findings from clustering with
results obtained from clustering by
clustering outcomes by

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For clustering of the vs Results of clustering by