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The phrase "as the core point" is correct and usable in written English.
It can be used to emphasize the main idea or central theme of a discussion or argument.
Example: "In this debate, we must focus on the evidence presented, as the core point is the impact of climate change on our environment."
Alternatives: "as the main focus" or "as the central idea".
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Likewise, any border point within ε-distance from a core point is also assigned the same cluster label as the core point.
Similar(59)
He picked out the core point in any comment.
The core, border, and noise points are defined as: Definition 1: A point, p is a core point if ∣{x∣d x, p)≤ε}∣≥M i n P t s, where MinPts denotes minimum number points and d x, p) denotes the Euclidian distance between of point x and p. The core points makes the interior of a cluster.
The classical density-based algorithms, such as DBSCAN [41] and DENCLUE [42], are not applicable in this scenario, because their density-based definition of core points cannot identify the core points of varying density clusters.
And the core points of differentiation seem more like gimmicks.
"By placing art in such drastically different sites Apostrophe is not only putting excitement into the viewing of art, but also centering the Base 12 artists and art as the core focal point and constant throughout the project".
For the purpose of DBSCAN clustering, the points are classified as core point, border point, and noise [27,28] as follows: A point p is a core point if it has more than a specified number of points (MinPts) within ε (Eps).
RE-based DBSCAN algorithm treats every point as core point and estimates the cluster purity to make clusters.
The basic idea is to start with a tuple whose CoV is maximum at the initial core point and collect all the tuples having 'very near' CoVs as core point and put them into one group is named as coalition group.
For each point, if size(N Eps ) ≥ MinPts, then mark it as a core point.
Take x 1 as core point of DBSCAN, after adding data point x 8, the data points of cluster C i are shown in Table 4: Table 4 Data points in cluster with two sorted data points User Live location Birth year Citizenship x 1 Korea,Seoul 1988 Korean x 8 Korea,Seoul 1988 Korean.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com