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PENGKLASTERAN DOKUMEN DENGAN MENGGUNAKAN ALGORITMA SUPPORT VECTOR CLUSTERING

Suhada Suhada, A M H Pardede

Abstract


Data processing documents also become an important issue at this time. Along with the increasing amount of data collected and stored in a database increases drastically. This data can come from a variety of sources such as financial applications, Enterprise Resource Management (ERM), Customer Relationship Management (CRM), and others. These data if can be used to support the decision-making process. This paper shows the result of clustering data derived from students' final assignment AMIK Tunas Bangsa Pematangsiantar using Support Vector Clustering method but it also displayed the data using the software RapidMiner clustering results with pengklasteringan time for 11:21 minutes with a gain that took the title in 1708 and classified database 311 who took the title of the classified web programming.

Keywords: Clustering Algorithm, Support Vector Clustering, RapidMiner

Keywords: Clustering Algorithm, Support Vector Clustering, RapidMiner

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References


Ben-Hur, D.Horn, H.Siegelmann, and V. Vapnik (2001), Support Vector Clustering. Journal of Machine Learning Research 2, p 125- 137.

K.STAPOR (2006), Support Vector Clustering Algorithm for Identification of Glaucomain Opthalmology, Bulletin of The Polish Academy of Science Technical Science vol.54 No1.

Mochammad Juniarto. , (2009), ”Implementasi Metode Support Vector Clustering untuk Pengklasteran Produk”, Institut Teknologi Sepuluh November.

Riwinoto, (2012), ”Perbandingan Quantum Clustering dan Support Vector Clustering untuk Data Microarray Expression Yeast Cell dalam Ruang Singular Value Decomposition (SVD), Seminar Nasional Aplikasi Teknologi Informasi 2012(SNASTI 2012).

Relita Buaton, Yeni Sundari, Yani Maulita, (2016), “Clustering Tindak Kekerasan Pada Anak Menggunakan Algoritma K-Means Dengan Perbandingan Jarak Kedekatan Manhattan City Dan Euclidean”, MEANS (Media Informasi Analisa dan Sistem).


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