Implementation of Generative Naive-Bayes classifier in Java

Introduction. The Naive Bayes approach is a generative supervised learning method which is based on a simplistic hypothesis: it assumes that the existence of a specific feature of a class is unrelated to the existence of another feature.

Developing a Naive Bayes Text Classifier in JAVA | Datumbox

java - Handling missing attributes in Naive Bayes classifier

I am writing a Naive Bayes classifier for performing indoor room localization from WiFi signal strength. So far it is working well, but I have some questions about missing features.

How to implement a Naive Bayes classifier in Java... - Quora

Naive Bayes classifier - Wikipedia

In machine learning, naive Bayes classifiers are a family of simple "probabilistic classifiers" based on applying Bayes' theorem with strong (naive) independence assumptions between the features.

GitHub - ptnplanet/Java-Naive-Bayes-Classifier: A java classifier...

java - Naive Bayes Text Classification Algorithm - Stack Overflow

Hye there! I just need the help for implementing Naive Bayes Text Classification Algorithm in Java to just test my Data Set for research purposes.

Naive Bayes Classifier - CodeProject

Naive Bayes Classifier in Java

Java-naive-bayes-classifier. Package provides java implementation of naive bayes classifier (NBC). Features. Handle both numerical and categorical inputs. Install. Add the following dependency to your POM file. <dependency> <groupId>com.github.chen0040</groupId> <artifactId...