Tag: machine learning algorithm
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K-means Clustering Algorithm
Table of Contents Definition K-means clustering is an unsupervised machine learning method used to partition a set of observations into k clusters. Unsupervised learning in artificial intelligence is a type of machine learning that learns from data without human supervision. Unlike supervised learning, unsupervised machine learning models are given unlabeled data and allowed to discover patterns and insights…
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Naive Bayes Classifier
Table of Contents Definition Naive Bayes classifier is a family of linear “probabilistic classifiers” which assumes that the features are conditionally independent, given the target class. The strength (naivety) of this assumption is what gives the classifier its name. These classifiers are among the simplest Bayesian network models. Naive Bayes classifiers are highly scalable, requiring a…
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