In machine learning, unsupervised learning is used for finding the hidden structure from the unlabeled dataset. Since the datasets are not labeled, there will be no error while evaluating for potential solutions.
Unsupervised machine learning includes several algorithms, some of which are as follows:
Clustering
Artificial neural networks
Vector quantization
We will consider popular clustering algorithms here.
Clustering is the task of grouping a set of object in such a way that similar objects with similar characteristics are grouped in the same category, but other objects are grouped in other categories. In clustering, the input datasets are not labeled; they need to be labeled based on the similarity of their data structure.
In unsupervised machine learning, the classification technique performs the same procedure to map the data to a category with the help of the provided set of input training datasets. The corresponding procedure is known as...