FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -Which of the following tasks can be best solved using Clustering. Sol. (b) We can think of the task of detecting fraudulent credit card transactions as essentially repre-senting all credit card transactions using some features and performing clustering.

Detailed explanation-2: -Detecting fraudulent credit card transactions.

Detailed explanation-3: -For which of the following tasks might clustering be a suitable approach? Given sales data from a large number of products in a supermarket, estimate future sales for each of these products. Given a database of information about your users, automatically group them into different market segments.

Detailed explanation-4: -Question: Which of the following machine learning problems would typically be solved using clustering? Predicting the sale price of a recently listed Mining of customer insights to improve house targeted marketing Screening of loan applications Organising a person’s phone camera images into labelled folders.

Detailed explanation-5: -K-Means Clustering K-Means is probably the most well-known clustering algorithm. It’s taught in a lot of introductory data science and machine learning classes. It’s easy to understand and implement in code!