Question

Q. Explain the working of "Clustering", an unsupervised learning algorithm(3 Marks)
Please help it's urgent
Tomorrow is my AI(Artificial Intelligence) exam
Ch - Artificial Intelligence Approaches
Class 9th​

Answer 1

Answer:

Clustering” is the process of grouping similar entities together. The goal of this unsupervised machine learning technique is to find similarities in the data point and group similar data points together.

The algorithm works iteratively to assign each data point to one of K groups based on the features that are provided. Data points are clustered based on feature similarity. The results of the K-means clustering algorithm are: The centroids of the K clusters, which can be used to label new data.

Answer 2

Clustering. Clustering is an important concept when it comes to unsupervised learning. It mainly deals with finding a structure or pattern in a collection of uncategorized data. Clustering algorithms will process your data and find natural clusters(groups) if they exist in the data.

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