CLUSTERING FRAGMEN METAGENOM MENGGUNAKAN METODE GROWING SELF ORGANIZING MAP (GSOM) ( Studi Kasus Dinas Lingkungan Hidup Kota Jayapura)
نویسندگان
چکیده
منابع مشابه
Clustering of Document Collections using a Growing Self-Organizing Map
Clustering methods are frequently used in data analysis to find groups in the data such that objects in the same group are similar to each other. Applied to document collections, clustering methods can be used to structure the collection based on the similarities of the contained documents and thus support a user in searching for similar documents. Furthermore, the discovered clusters can be au...
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Data clustering is the fundamental data analysis method, widely used for solving problems in the field of machine learning. Numerous clustering algorithms exist, based on various theories and approaches, one of them being the well-known Kohonen’s self-organizing map (SOM). Unfortunately, after training the SOM there is no explicitly obtained information about clusters in the underlying data, so...
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ژورنال
عنوان ژورنال: JSI: Jurnal Sistem Informasi (E-Journal)
سال: 2020
ISSN: 2355-4614
DOI: 10.36706/jsi.v12i2.12174