SEGMENTASI KARAKTERISTIK DEBITUR MENGGUNAKAN ALGORITMA X-MEANS
The event of debtor is failed to pay or arrears of payment is called default. One of the way to minimize default is we can recognize debtor characteristic who usually gets default experience using x-means algorithm. Clustering using x- means algorithm is a development from k-means cluster. X-means f...
محفوظ في:
| المؤلفون الرئيسيون: | , |
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| التنسيق: | Theses and Dissertations NonPeerReviewed |
| منشور في: |
[Yogyakarta] : Universitas Gadjah Mada
2013
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://repository.ugm.ac.id/126781/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=67015 |
| الوسوم: |
إضافة وسم
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| المؤسسة: | Universitas Gadjah Mada |
| الملخص: | The event of debtor is failed to pay or arrears of payment is called default.
One of the way to minimize default is we can recognize debtor characteristic who
usually gets default experience using x-means algorithm. Clustering using x-
means algorithm is a development from k-means cluster. X-means forms an initial
cluster using k-means. Each formed initial cluster is divided into two clusters
based on BIC criteria. This process is repeated until there is no cluster which can
not be divided. X-means needs less computation than k-means and is capable to
optimize the number of clusters formed. |
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