Classification is a data mining technique that assigns labels to data sets according to their properties. It is used to classify data into distinct groups and to identify relationships between them. This technique is used to analyze large volumes of data and to identify patterns and trends in the data. Classification techniques are used to classify objects into categories or classes based on their characteristics.
Types of Classification
There are several types of classification techniques used in data mining. These include: Decision Tree, k-Nearest Neighbor, Naive Bayes, Support Vector Machines, Artificial Neural Networks, and Logistic Regression. Each type of classification approach has its own advantages and disadvantages.
Decision Tree
A decision tree is a graphical representation of a decision-making process. It is used to classify data by using a tree-like structure that divides data into smaller and smaller sets. Decision trees can be used to identify relationships between different data points and to make decisions based on the data.
k-Nearest Neighbor
The k-Nearest Neighbor algorithm is a type of classification technique used in data mining. It is used to classify data points by finding the k-nearest neighbors of each data point. The algorithm can be used to identify similar data points and to learn how those data points are related.
Naive Bayes
Naive Bayes is a type of classification technique used in data mining. It is used to classify data by assigning a probability to each class based on the data. The algorithm is based on Bayes' theorem, which states that the probability of an event is the product of the prior probability and the likelihood of the event.
Support Vector Machines
Support Vector Machines (SVMs) are a type of classification technique used in data mining. The algorithm is used to classify data by finding a hyperplane that can separate the data into two distinct classes. The hyperplane is determined by the data points that are closest to it, which are known as the support vectors.
Artificial Neural Networks
Artificial Neural Networks (ANNs) are a type of classification technique used in data mining. The algorithm is used to classify data by creating a network of interconnected neurons. Each neuron is connected to its neighbors and the network is trained to recognize patterns in the data.
Logistic Regression
Logistic regression is a type of classification technique used in data mining. It is used to classify data by using a linear model to predict the probability of an event occurring. The model is based on the logistic function, which is used to calculate the probability of an event occurring given a set of inputs.
