KNearest Neighbors
K-Nearest Neighbors (KNN) is a simple, non-parametric supervised learning algorithm that classifies or predicts a new data point based on the majority label or average value of its K closest points in the training data.
5 resources across 2 libraries
Glossary Terms(4)
Support Vector Machine
A Support Vector Machine (SVM) is a supervised learning algorithm that finds the hyperplane which best separates classes of data by maximizing the margin betwe…
Naive Bayes Classifier
A Naive Bayes classifier is a probabilistic machine learning algorithm based on Bayes' theorem that predicts a class by assuming all input features are conditi…
K-Means Clustering
K-Means is an unsupervised machine learning algorithm that partitions a dataset into K clusters by iteratively assigning points to the nearest cluster centroid…
K-Nearest Neighbors
K-Nearest Neighbors (KNN) is a simple, non-parametric supervised learning algorithm that classifies or predicts a new data point based on the majority label or…