| Summary: | News is awaited information resources by humans every day. Human reading
the news with the desired category. If the computer able to news clustering with
automatically, humans of course will be easier to read the news according to the
desired category. News clustering in the form of news articles with automatically
very interesting because it organizes news articles manually takes time and costs
not a little bit.
The purpose of this research is to create a system application for grouping
news articles by using the Self Organizing Map algorithm. News article be used
as input into the system. News articles used as input data. Then the system
performs data processing until to be clustered. Processes performed by the system
covers: preprocessing, feature extraction, clustering and visualize. The system
developed is able to display the results clustering of the Self Organizing Map
algorithm and gives visualization of the Smoothed Data Histograms in the form of
island map from news articles. Additionally the system can display a word
histogram and news articles from five categories news in each year. Testing of
this system by entering the news articles, then the system performs data
processing and gives results of a cluster from news articles that input.
|
|---|