MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -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 than those in other groups.

Detailed explanation-2: -Binary Classification. Binary classification refers to those classification tasks that have two class labels.

Detailed explanation-3: -Classification is a process of categorizing a given set of data into classes, It can be performed on both structured or unstructured data. The process starts with predicting the class of given data points. The classes are often referred to as target, label or categories.

Detailed explanation-4: -Differences between Classification and Clustering The process of classifying the input instances based on their corresponding class labels is known as classification whereas grouping the instances based on their similarity without the help of class labels is known as clustering.

Detailed explanation-5: -Semi-supervised learning uses the classification process to identify data assets and clustering process to group it into distinct parts.