in the first step of k-means with the standard euclidean distance metric, which points will be assigned to the cluster centered at p?

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24-11-2022
Physics

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in the first step of k-means with the standard euclidean distance metric, which points will be assigned to the cluster centered at p?

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smecloudbird17 smecloudbird17 · Answer 1 · 2022-11-28T14:40:38+01:00

In the first step of the k-means with the standard euclidean distance metric, the mean of the observation values are assigned to the cluster.

K-means clustering is one of the commonly used clustering algorithms for partitioning observations into a set of k groups. This method tries to classify observations into mutually exclusive groups, so that observations within the same cluster are as similar as possible.

In k-clustering, each cluster is represented by its centre which corresponds to the mean of the observation values assigned to the cluster.

This implies that k-algorithm recognizes the k number of centroids.

The following required of k-means clustering are defined distance metric, number of clusters, initial guess of centroids.

To know more about k-means algorithm:

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