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The above can be classified as a clustering problem. Clustering, or cluster analysis, is the task of grouping a data
set into a set of similar items. It is an unsupervised learning algorithm. As an important analysis method in machine
learning, clustering is used to identify patterns and structures in unlabelled data sets. Clustering algorithms are used
in many fields, as given below.
Applications of Clustering
There are various applications of clustering. Let us learn about some of them.
Fake News Fake News
Fake News Detection Fake News Fake News Fake News
Fake News
Fake News Fake News
Fake News Fake News
Fake News
Fake News Fake News
Fake News Fake News
Fake News
Fake News Fake News
Fake News Fake News
Fake News
Fake News
The algorithm uses the content of fake news articles, checks the words used, and Fake News Fake News Fake News Fake News Fake News
Fake News
Fake News
Fake News
Fake News Fake News
Fake News
Fake News Fake News
Fake News
Fake News
Fake News Fake News
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Fake News Fake News
Fake News
then groups them into clusters. These clusters help the algorithm determine Fake News Fake News Fake News Fake News
Fake News
Fake News Fake News
Fake News
Fake News
Fake News Fake News
Fake News
Fake News
Fake News
Fake News Fake News
Fake News
Fake News Fake News
Fake News
Fake News Fake News
which is real news and which is fake news. If you see a high percentage of Fake News Fake News Fake News
Fake News
Fake News Fake News
Fake News
certain terms in the article, the material is more likely to be fake news. Fake News
Marketing and Sales
If you are a CEO of a company, targeting the right candidates is critical.
Clustering algorithms group people with similar characteristics who
are most likely to sell your product or service. Once these groups have
been identified, target your messages around them to increase the
likelihood of sales.
Document Classification/Organisation
The algorithm views the text and groups/clusters it into different topics.
This technique allows to quickly group and organise similar documents
using the characteristics given in the paragraph.
Recommendation Systems
Recommendation systems are widely used by Amazon, Netflix, Flipkart, etc. to provide automated and personalised
recommendations for products, services and information. The technology behind the recommendation engines is
called collaborative filtering. A cluster is formed based on the preferences of customers. Customers within each cluster
get recommendations computed at the cluster level.
Machine Learning Algorithms 347

