sherlock-final-project

PERBANDINGAN METODE KLASTER K-MEDOIDS DAN K-MEANS TERHADAP HASIL PERAMALAN KEMISKINAN DI INDONESIA MENGGUNAKAN BPNN

Metode yang digunakan: Backpropagation Neural Network, K-means, K-medoids

main_model >> Pemodelan tingkat kemiskinan (Y) terhadap tiga variabel X

predictor_model >> Pemodelan ketiga variabel untuk peramalan data points 4 periode ke depan

Name		Name	Last commit message	Last commit date
Latest commit History 66 Commits
.vscode		.vscode
map_cluster		map_cluster
x1		x1
x2		x2
x3		x3
y		y
.RData		.RData
.Rhistory		.Rhistory
README.md		README.md
arima.R		arima.R
cluster_summary.xlsx		cluster_summary.xlsx
clustering.ipynb		clustering.ipynb
clusterviz.R		clusterviz.R
combined.R		combined.R
fpdata.xlsx		fpdata.xlsx
kmeans_cluster.png		kmeans_cluster.png
kmeansfinal.xlsx		kmeansfinal.xlsx
kmeansinit.xlsx		kmeansinit.xlsx
kmedoids_cluster.png		kmedoids_cluster.png
kmedoidsfinal.xlsx		kmedoidsfinal.xlsx
kmedoidsinit.xlsx		kmedoidsinit.xlsx
main_model.ipynb		main_model.ipynb
manova.R		manova.R
pooled_data.xlsx		pooled_data.xlsx
predictor_model.ipynb		predictor_model.ipynb
predictor_model_v1.ipynb		predictor_model_v1.ipynb
terasvirta_acfpacf.R		terasvirta_acfpacf.R
x_prediction.xlsx		x_prediction.xlsx
x_prediction_2.xlsx		x_prediction_2.xlsx
x_prediction_3.xlsx		x_prediction_3.xlsx
y_prediction.xlsx		y_prediction.xlsx

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