DocClusterizer is a Java desktop application designed to analyze and cluster documents based on their content similarity. The application utilizes Lucene and Tika libraries to process various file extensions such as txt, pdf, docx, and pptx.

Bachelor's Thesis at FER, University of Zagreb, 2018.

Document Clustering project utilizing K-Means algorithm. Requires Stanford CoreNLP as a dependency. From my undergraduate course in Predictive Analytics taken with Anasse Bari at NYU.

mvn -Dhadoop2.version=2.5.0 -Dlucene.version=xxx -DskipTests clean install