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...
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| 格式: | Theses and Dissertations NonPeerReviewed |
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[Yogyakarta] : Universitas Gadjah Mada
2013
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id-ugm-repo.1267812016-03-04T08:41:19Z https://repository.ugm.ac.id/126781/ SEGMENTASI KARAKTERISTIK DEBITUR MENGGUNAKAN ALGORITMA X-MEANS , NURLITA KUSUMA DEWI , Dr. Gunardi, M.Si. ETD 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. [Yogyakarta] : Universitas Gadjah Mada 2013 Thesis NonPeerReviewed , NURLITA KUSUMA DEWI and , Dr. Gunardi, M.Si. (2013) SEGMENTASI KARAKTERISTIK DEBITUR MENGGUNAKAN ALGORITMA X-MEANS. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=67015 |
| institution |
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| building |
UGM Library |
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Repository Civitas UGM |
| topic |
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| spellingShingle |
ETD , NURLITA KUSUMA DEWI , Dr. Gunardi, M.Si. SEGMENTASI KARAKTERISTIK DEBITUR MENGGUNAKAN ALGORITMA X-MEANS |
| description |
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. |
| format |
Theses and Dissertations NonPeerReviewed |
| author |
, NURLITA KUSUMA DEWI , Dr. Gunardi, M.Si. |
| author_facet |
, NURLITA KUSUMA DEWI , Dr. Gunardi, M.Si. |
| author_sort |
, NURLITA KUSUMA DEWI |
| title |
SEGMENTASI KARAKTERISTIK DEBITUR MENGGUNAKAN ALGORITMA X-MEANS |
| title_short |
SEGMENTASI KARAKTERISTIK DEBITUR MENGGUNAKAN ALGORITMA X-MEANS |
| title_full |
SEGMENTASI KARAKTERISTIK DEBITUR MENGGUNAKAN ALGORITMA X-MEANS |
| title_fullStr |
SEGMENTASI KARAKTERISTIK DEBITUR MENGGUNAKAN ALGORITMA X-MEANS |
| title_full_unstemmed |
SEGMENTASI KARAKTERISTIK DEBITUR MENGGUNAKAN ALGORITMA X-MEANS |
| title_sort |
segmentasi karakteristik debitur menggunakan algoritma x-means |
| publisher |
[Yogyakarta] : Universitas Gadjah Mada |
| publishDate |
2013 |
| url |
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 |
| _version_ |
1681232497962123264 |