Image Classification of Tourist Attractions with K-Nearest Neighbor, Logistic Regression, Random Forest, and Support Vector Machine
Abstract
Keywords
Full Text:
PDFReferences
Simpson, T. Mcintire, and M. Sienko, "An improved hybrid clustering algorithm for natural scenes," IEEE Transactions on Geoscience and Remote Sensing, vol. 38, no. 2, pp. 1016–1032, 2000.
L. Breiman, Random forests. Machine Learning, 45, 5–32. 2001.
K. Anwar, A. Harjoko, and S. Suharto, "A New Method for Measuring Texture Regularity based on the Intensity of the Pixels in Grayscale Images," International Journal of Computer Applications, vol. 137, no. 7, pp. 1–5, 2016.
Y. Wicaksono, R.S. Wahono, and V. Suhartono, "Color and Texture Feature Extraction Using Gabor Filter – Local Binary Patterns for Image Segmentation with Fuzzy C-Means", Journal of Intelligent Systems, vol. 1, no. 1, pp 15-21, 2015.
O. R. Indriani, E. J. Kusuma, C. A. Sari, E. H. Rachmawanto, and D. R. I. M. Setiadi, "Tomatoes classification using K-NN based on GLCM and HSV color space," 2017 International Conference on Innovative and Creative Information Technology (ICITech), 2017.
E. H. Abdelfattah, "Using the Logistic Regression to Predict Saudi's Kidney Transplant Rejection Patients," Biometrics & Biostatistics International Journal, vol. 5, no. 2, 2017.
L. A. Ahmed, "Using logistic regression in determining the effective variables in traffic accidents," Applied Mathematical Sciences, vol. 11, pp. 2047–2058, 2017.
J. Panyavaraporn and P. Horkaew, "Classification of Alzheimer's Disease in PET Scans using MFCC and SVM," International Journal on Advanced Science, Engineering and Information Technology, vol. 8, no. 5, p. 1829, 2018.
R. V. K. Reddy and U. R. Babu, "Efficient Handwritten Digit Classification using User-defined Classification Algorithm," International Journal on Advanced Science, Engineering and Information Technology, vol. 8, no. 3, p. 970, 2018.
H. W. Nugroho, T. B. Adji, and N. A. Setiawan, "Random Forest Weighting based Feature Selection for C4.5 Algorithm on Wart Treatment Selection Method," International Journal on Advanced Science, Engineering and Information Technology, vol. 8, no. 5, p. 1858, 2018.
F.N. Iandola, M.W. Moskewicz, K.. Ashraf, S. Han, W.J. Dally, and K. Keutzer, SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size. CoRR, abs/1602.07360., 2016.
J. Demsar, T. Curk, A. Erjavec, C. Gorup, T. Hocevar, M. Milutinovic, M. Mozina, M. Polajnar. M. Toplak, A. Staric, M. Stajdohar, L. Umek, L. Zagar, J. Zbontar, M., Zitnik, and B. Zupan. Orange: Data Mining Toolbox in Python. Journal of Machine Learning Research 14(Aug), pp. 2349−2353. 2013.
DOI: http://dx.doi.org/10.18517/ijaseit.10.6.9098
Refbacks
- There are currently no refbacks.
Published by INSIGHT - Indonesian Society for Knowledge and Human Development