Skripsi

PERBANDINGAN SELEKSI FITUR TEKNIK WRAPPER MENGGUNAKAN FORWARD SELECTION DENGAN TEKNIK FILTER MENGGUNAKAN SINGULAR VALUE DECOMPOSITION TERHADAP HASIL PENGKLASTERAN DOKUMEN  

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Penilaian

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k-Means is the simple clustering algorithm that has fast time of processing data. However, k-Means can cause curse of dimentionality on high dimentional data. From previsious study, feature selection using filter techcnique in Singular Value Decomposition can reduce dimentional data and improve kmeans clustering results. Besides, there is also wrapper technique in fitur selection. Forward Selection is wrapper approaches used in feature selection oftenly. It can remove irrelevant feature, develope and immprove the quality of data, performance and accurateness of the model. The results obtained by the combination of forward selection and K-Means improve the performance of text clustering by 29,3%, while combination of SVD and k-Means just improve the performance of text clustering by 17,9%. On the other hand, SVD has a faster time compared to forward selection and SVD can reduce the number of repetitions of processes.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2007000899	T34388	T343882020	Central Library (REFERENSI)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T343882020

Publisher

Inderalaya : Fakultas Ilmu Komputer., 2020

Collation

xvii, VI-2 hlm.; tab.: 28 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Teknik Informatika
Ilmu Komputer
Klasterisasi Dokumen

Specific Detail Info

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Statement of Responsibility

EM

Other version/related

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