Centroid

What Centroid is

Centroid is a method used to measure the center of a cluster of data points. It is used to identify the central point of a group of data points in a multi-dimensional space.

Steps for Centroid:

1. Organize the data points into clusters.
2. Calculate the mean of each cluster.
3. Calculate the centroid of each cluster.
4. Repeat step two and three until all clusters have a centroid.
5. Compare the centroids of the clusters to find the closest centroid.

Examples

1. Centroid is commonly used in clustering algorithms to represent the mean location of all the data points in a cluster.

2. Centroid is used in principal component analysis to identify the principal components of a multivariate dataset.

3. Centroid is used in k-means clustering to compute the means of each cluster from the individual data points.

4. Centroid is used in linear discriminant analysis to identify the linear discriminant functions for a given dataset.

Related Topics

• LINEAR

• MEAN

• LOCATION

• MULTIVARIATE