MESIN PENCARI DOKUMEN DENGAN PENGKLASTERAN SECARA OTOMATIS
Abstract: Web mining in
searching based on keywords by automatic clustering is a document searching
method by classifying documents based on its keyword. Following is the
clustering by centroid linkage hierarchical method (CLHM) to the number of
keywords from each document. In clustering, initialization is commonly required
for the number of cluster to be formed first, however, in some clustering
cases, the user cannot determine how many clusters can be built. Therefore, on
this paper, the Valley tracing method is applied as a constraint which
identifies variants movement from each cluster formation step and also analyzes
its pattern to form automatic clustering. Document data used are from text mining
process on documents. Based on 424 documents, this research shows that
clustering method using CLHM algorithm can be generally used to classifying
documents with exact number automatically.
Penulis: Entin Martiana, Nur
Rosyid, Usmaida Agusetia
Kode Jurnal: jptkomputerdd100025
