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All Journal JPMS (Jurnal Pendidikan Matematika dan Sains) dCartesian: Jurnal Matematika dan Aplikasi Jurnal Ilmu Dasar Jurnal Gaussian CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Didaktik Matematika Jurnal Karya Pendidikan Matematika Jurnal Daya Matematis PYTHAGORAS: Jurnal Program Studi Pendidikan Matematika AKSIOMA HISTOGRAM: Jurnal Pendidikan Matematika AL ISHLAH Jurnal Pendidikan JURNAL PENDIDIKAN GLASSER BAREKENG: Jurnal Ilmu Matematika dan Terapan Jambura Journal of Mathematics Laplace : Jurnal Pendidikan Matematika ESTIMASI: Journal of Statistics and Its Application Jurnal Statistika dan Aplikasinya Jambura Journal of Mathematics Education JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Dikmas: Jurnal Pendidikan Masyarakat dan Pengabdian MATHunesa: Jurnal Ilmiah Matematika Research in the Mathematical and Natural Sciences Jurnal Riset Mahasiswa Matematika Journal of Mathematics, Computation and Statistics (JMATHCOS) d'Cartesian: Jurnal Matematika dan Aplikasi
Ismail Djakaria
Universitas Negeri Gorontalo
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : Jurnal Ilmu Dasar

 1 
Visualization of Iris Data Using Principal Component Analysis and Kernel Principal Component Analysis Ismail Djakaria; suryo Guritno; Sri Haryatmi Kartiko
Jurnal ILMU DASAR Vol 11 No 1 (2010)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

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Abstract

Principal component analysis (PCA) is a method used to reduce dimentionality of the dataset. However, the use of PCA failed to carry out the problem of non-linear and non-separable data. To overcome this problem such data is more appropriate to use PCA method with the kernel function, which is known as the kernel PCA (KPCA). In this paper, Iris dataset visualized with PCA and KPCA, that contains are the length and the width of sepal and petal. 
Co-Authors Agustina, Melisa Agusyarif Rezka Nuha Alamri, Fahima Amalia Tatu Armayani Arsal Armin Haluti Arwildayanto, Arwildayanto Asriadi Asriadi Boby Rantow Payu Caicy Magelo Demas Novaleda Abdul Karim Dewi Rahmawati Isa Dewi Rahmawaty Isa Djibran, Fahrudin Djihad Wungguli Evi Hulukati Fenly B Mohamad Fitra Reza Dj Wares Franky Alfrits Oroh Gaib, Muhammad Bachtiar Hamza B Uno HARIYATI H. USMAN Harun, Trieke Nurfadilah Haryati Octaviani Bempah Hasan, Irsan K. Hasan, Riyanto Hasan, Salmiaty HASIRU, LISA SYAHRIA Hendra Andrianto Yusuf Herlina Jusuf Isran K Hasan Iyohu, Lisa Rianti Jenny Patricia Ayu Kai K. Hasan, Isran K. Nasib, Salmun Kartin Usman Kasim, Miranti H. La Ode Nashar Ladjali, Nurjana Namko Ladjali, Sri Indriani Lailany Yahya Madonsa, Muhammad Rifai Mahajani, Roy Mahmud, Sri Lestari Majid Majid Majid, Majid Mentari Rizki Sawitri Pilomonu Modeong, Fakhira Mohamad Rivaldi Moha Mokoginta, Karmila Muhammad Rezky F. Payu Ningsih, Setia NISKY IMANSYAH YAHYA Nosva Adam Yunus Novianty Djapri Nurhayati Abbas Nursiya Bito Pakaya, Debyyansa Paputungan, Arsiullahnur R. Perry Zakaria POMALINGO, DEWI ZULYANI Rahmi Moh. Amin Resmawan Resmawan Safrudin Ismail Salmun K. Nasib siswanto, Navira Siti Nurmardia Abdussamad Sri Endang Saleh Sri Haryatmi Kartiko Suhardiman Darson Tamu Suleman, Alis Sumarno Ismail suryo Guritno Swasti Maharani Syafrudin Katili Syafrudin, Marisa Syamsu Qomar Badu Ukhti Nurfajriah Sasmita Ijonu Ulopo, Asrul S WA SALMI WD Rifqah Amalliah Ndangi Yamin Ismail Yunus, Silvani Yusuf, Hendra Andrianto Zulkifli Alamtaha