Computer Science
7 years ago

New Algorithm Revolutionizes Clustering of Textual Data for Better Insights

Bulletin of Electrical Engineering and Informatics
A Modified Overlapping Partitioning Clustering Algorithm for Categorical Data Clustering
Mohammad Alaqtash, Moayad A. Fadhil, Ali F. Al-Azzawi

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The article presents a new clustering algorithm for grouping text data into categories. Traditional algorithms only work with numbers, so this one was modified to handle words. The researchers tested it on a dataset of 20,000 news articles and found that it created good clusters without losing important information. The modified algorithm performed well compared to a standard clustering method.