Results 71 to 80 of about 375,352 (295)
KLASTERING INDUSTRI DI KABUPATEN KUDUS MENGGUNAKAN METODE FUZZY C-MEANS
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2016 Penelitian ini menggunakan metode klastering Fuzzy C Means, yang digunakan untuk klastering industri di Kabupaten Kudus, teori ini merupakan penggunaan dari teori klastering Fuzzy C Means. Klastering industri di kabupaten Kudus dilaksanakan sebagai upaya
Pratomo Setiaji, Wiwit Agus Triyanto
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Image segmentation using fuzzy clustering incorporating spatial information [PDF]
, 2004 Effective image segmentation cannot be achieved for a fuzzy clustering algorithm based on using only pixel intensity, pixel locations or a combination of the two.
Ali, Ameer +2 more
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Fuzzy clustering with volume prototypes and adaptive cluster merging [PDF]
, 2002 Two extensions to the objective function-based fuzzy clustering are proposed. First, the (point) prototypes are extended to hypervolumes, whose size can be fixed or can be determined automatically from the data being clustered.
Kaymak, U, Setnes, M
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Microsphere Autolithography—A Scalable Approach for Arbitrary Patterning of Dielectric Spheres
Advanced Functional Materials, EarlyView.MicroSphere Autolithography (µSAL) enables scalable fabrication of patchy particles with customizable surface motifs. Focusing light through dielectric microspheres creates well defined, tunable patches via a conformal poly(dopamine) photoresist. Nearly arbitrary surface patterns can be achieved, with the resolution set by the index contrast between ...
Elliott D. Kunkel +3 more
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Fuzzy Clustering dalam Pengclusteran Data Curah Hujan Kota Bengkulu dengan Algoritma C-means [PDF]
, 2014 This study was conducted to design Clustering using Fuzzy C - Means algorithm rainfall data in the city of Bengkulu and evaluate performance C - Means Algorithm to generate the level of location accuracy in forecasting monthly rainfall Climatological ...
Sari, H. L. (Herlina)
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Применение методов кластеризации для диагностики болезни Альцгеймера на основе ПЕТ-изображений [PDF]
, 2016 Робота присвячена використанню методів кластеризації в системах нечіткого виводу для класифікації ПЕТ-зображень з метою діагностики хвороби Альцгеймера. Оцінені характеристики кожного з трьох представлених кластеризаційних методів: Subtractive Clustering,
Gorriz, Huan Manuel +11 more
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Three‐dimensional Antimony Sulfide Based Flat Optics
Advanced Functional Materials, EarlyView.This work presents the development of a grayscale electron beam lithography (g‐EBL) method for fabricating antimony trisulfide (Sb2S3) nanostructures with customizable 3D profiles. The refractive index of g‐EBL patterned Sb2S3 is determined based on the synergy of genetic algorithm and transfer matrix method.
Wei Wang +18 more
wiley +1 more source
Automatic Feature Set Selection for Merging Image Segmentation Results Using Fuzzy Clustering [PDF]
, 2005 The image segmentation performance of clustering algorithms is highly dependent on the features used and the type of objects contained in the image, which limits the generalization ability of such algorithms.
Ali, Ameer +2 more
core
Advanced Functional Materials, EarlyView.The concept of foulant particle manipulation and detachment from active microfiltration membranes via voltage‐driven vibrations is introduced. Actuator components are initially integrated onto the filtration membranes using an airbrush spray printing technique.
Irem Gurbuz, Hanieh Bazyar, Andres Hunt
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STUDI SIMULASI MENGGUNAKAN FUZZY C-MEANS DALAM MENGKLASIFIKASI KONSTRUK TES
Jurnal Penelitian dan Evaluasi Pendidikan, 2013 Tulisan ini memperkenalkan metode fuzzy c-means dalam mengklasifikasi konstruk tes. Untuk memverifikasi sifat unidimensional suatu tes biasanya menggunakan analisis faktor sebagai bagian dari statistik parametrik dengan beberapa persyaratan yang ketat ...
Rukli Rukli
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