Examples of 'cluster centers' in a sentence
Meaning of "cluster centers"
cluster centers: This phrase likely refers to the central points or locations within a cluster of objects or data points. It could be used in various contexts, such as data analysis, geographical clustering, or computational algorithms
How to use "cluster centers" in a sentence
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cluster centers
The crosses indicate the cluster centers.
Empty cluster centers restart at random.
This allows predefining of the cluster centers.
Repeat until cluster centers do not move anymore.
Convergence achieved due to no or small change in cluster centers.
Using cluster centers as reference points is the most efficient way.
This increase is a weighted squared distance between cluster centers.
The cluster centers are the initial starting points in nonhierarchical clustering.
These local minima then define the cluster centers.
Then all cluster centers are updated based on the new assignments.
So these are our cluster centers.
The set of cluster centers are the ones that satisfy.
C is the number of cluster centers.
The cluster centers along with the calculated thresholds make up the network or model.
The crosses indicate the position of the cluster centers.
See also
The cluster centers and the calculated thresholds then make up the generated generic network.
Select the mode to be used to select the points as initial cluster centers.
Consequently, the reported cluster centers will have an associated error.
K-means requires initial approximation of cluster centers.
In which case, we just restart cluster centers at random that have no corresponding points.
First we need to know k, the number of cluster centers.
Guess cluster centers at random, as shown over here with the 2 stars.
If we use k means, we should not increase the number of cluster centers.
In its standard implementation, the complexity to compute the cluster centers and distances is low.
K-means is a very simple almost binary algorithm that allows you to find cluster centers.
K-means cluster analysis, principles of grouping, initial cluster centers, final cluster centers.
Again, we have a couple of data points here and 2 randomly chosen cluster centers.
Select " k " random points as cluster centers.
Now the final step is iterate . Go back and reassign cluster centers.
Suppose we are given 3 data points and 2 cluster centers.
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Examples of using Centers
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Align the respective centers when attaching
Pleasure centers are lighting up like a hanukah bush
Practically all health centers have microscopes
Examples of using Cluster
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This is a cluster of pigeons fighting over breadcrumbs
We need to focus on finding the cluster bombs
Verifying cluster hardware and software configurations
