نتایج جستجو برای: bouldin
تعداد نتایج: 203 فیلتر نتایج به سال:
Recently, the two concepts that have been often discussed in literature on taxonomy are cluster ensemble and stability. An interesting proposal regarding combination of these was presented by Șenbabaoğlu, Michailidis, Li, who proposed as a measure stability proportion ambiguously clustered pairs (PAC) for selecting optimal number groups ensemble. This appeared field genetic research, but author...
Jawa barat merupakan salah satu wilayah dengan potensi bencana alam tinggi. Hampir semua jenis sudah terjadi di setiap wilayahnya, seperti gempa bumi, tanah longsor, banjir, dan masih banyak lagi. Oleh karena itu, informasi mengenai tingkat terjadinya berbagai harus diteliti lebih lanjut agar waspada kedepannya. Penelitian ini bertujuan untuk mengelompokkan kejadian Barat berdasarkan memanfaatk...

 This research aims to classify disaster-prone areas in Jember Regency based on index indicators 31 sub-districts Regency. The 6 used this study are the number of disaster events, victims killed, injured victims, damaged houses, amount damage infrastructure and population density. clustering method is K-Means Clustering method. considered quite effective efficient for grouping large amoun...
In recent years, the hybridization of natural fibers with synthetic has received much attention. This paper conducted an experimental study on tensile and flexural behavior unidirectional carbon/flax fiber reinforced epoxy composites single flax fibers. Four rates were considered for 16 layers in a symmetric staking sequence, carbon ply at surface. The damage evolution under load increase was m...
Tujuan dari penelitian ini adalah untuk mengenali pola pendapatan dan karakteristik pekerja informal dengan lebih baik menggunakan clusterisasi Algoritma K-Means sehingga pemerintah dapat mengarahkan sumber daya program tepat sasaran. Dalam ini, Indeks Davies Bouldin (DBI) akan digunakan sebagai metode mengoptimalkan jumlah cluster dalam proses pengelompokkan wilayah Kabupaten/Kota di Jawa Bara...
We compared the previous study about clustering welfare of Indonesian people using Fuzzy C-Means (FCM) approach to a recent study, Gaussian mixture model (GMM). Both which were soft clustering. The case analyzes by classifying 34 provincial data in Indonesia, based on eight indicator variables 2017, Central Statistics Agency had issued. FCM and GMM approaches determine better level accuracy Sil...
Abstract: In this study we propose a new approach to analyze data from the P300 speller paradigm using the quadratic B-Spline wavelet coefficients in comparing to time and frequency features sets on the event related potentials. Data set II from the BCI competition 2005 was used. Mode frequency, Mean frequency, Median frequency and some morphologic parameters ware extracted as features. Three m...
Clustering algorithms are widely used to segment medical images. However, these techniques difficult perform, especially in brain magnetic resonance images (MRI), given the complexity of anatomical structure tissue, in-homogeneity pixel intensity images, and partial volume noise effects. This will cause algorithm fall into local minima problem; for this reason, it is recommended improve such cl...
Companies’ managers are very enthusiastic to extract the hidden and valuable knowledge from their organization data. Data mining is a new and well-known technique, which can be implemented on customers data and discover the hidden knowledge and information from customers' behaviors. Organizations use data mining to improve their customer relationship management processes. In this paper R, F, an...
The service area and the wide distribution of customers often require quite a long time in terms handling disturbances, which can reduce level customer trust loyalty to using network services provided. Customer segmentation by region help make it easier analyze disruptions that occur zoning so be maintained. This research was conducted understand characteristics disturbances several areas. In t...
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