|classification techniques in data mining||1.15||0.2||2253||41|
kNN, or k-Nearest Neighbors, is one of the most popular machine learning classification algorithms. It stores all of the available examples and then classifies the new ones based on similarities in distance metrics. It belongs to instance-based and lazy learning systems.What are the different data mining methods?
Basic data mining methods involve four particular types of tasks: classification, clustering, regression, and association. Classification takes the information present and merges it into defined groupings. Clustering removes the defined groupings and allows the data to classify itself by similar items.What are classification techniques?
Classification is a classic data mining technique based on machine learning. Basically, classification is used to classify each item in a set of data into one of a predefined set of classes or groups. Classification method makes use of mathematical techniques such as decision trees, linear programming, neural network, and statistics.