After learning about the Supervised Learning, we will talk about the Unsupervised learning. So, What is unsupervised learning?
DEFINITION:- Unsupervised Learning is the learning algorithm used in machine learning which do contains training examples but with no label on it.
Here,Clustering is the most important aspect used in unsupervised learning. clustering is the task of dividing the population or data points into a number of groups such that data points in the same groups are more similar to other data points in the same group and dissimilar to the data points in other groups.
Application of clustering:-
- Market Segmentation
- Social Network Analysis
Clustering Algorithm is used to cluster the data into groups with similar data, which is also called as K-Means Algorithm and can be given as:-
Sometimes, one can also fins difficulty in choosing the number of cluster one must take to inculcate in its training set. This can be solved by Elbow Method Which will be a topic of discussion of another blog along with the Dimensionality Reduction(Data Compression).
The Thesis Whisperer 