FUZZY KLUSTERING SHORT TIME SERIES UNTUK SEGMENTASI PELANGGAN (studi kasus: Sampel Load Pelanggan PLN di Yogyakarta)
Clustering is a descriptive statistical technique that helps in determining the central points, is the most fundamental concepts to determine the pattern of the data in the segmentation data. The advantages of fuzzy clustering gives a fuzzy clustering partition data, stronger, broader, and more real...
محفوظ في:
| المؤلفون الرئيسيون: | , |
|---|---|
| التنسيق: | Theses and Dissertations NonPeerReviewed |
| منشور في: |
[Yogyakarta] : Universitas Gadjah Mada
2012
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://repository.ugm.ac.id/97818/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=53976 |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| الملخص: | Clustering is a descriptive statistical technique that helps in determining
the central points, is the most fundamental concepts to determine the pattern of the
data in the segmentation data. The advantages of fuzzy clustering gives a fuzzy
clustering partition data, stronger, broader, and more realistic than crisp partition.
In this research, given an empirical analysis with fuzzy clustering method
with short time series distance. The reason behind it, because of capturing time
interval information from sample data. Analysis of empirical data is used time
series data i.e. customers loads sample Yogyakarta�s State Electricity Enterprise..e |
|---|