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PARAMETER INDEPENDENT FUZZY WEIGHTED k-NEAREST NEIGHBOR
Parameter Independent Fuzzy Weighted k-Nearest Neighbor (PIFWkNN) as a classification technique developed by combining Success History based Parameter Adaptive Differential Evolution (SHADE) with Fuzzy k-Nearest Neighbor (FkNN), where this PIFWkNN does ...
Mayawi Mayawi, Subanar Subanar
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Klasifikasi Berita Clickbait Menggunakan K-Nearest Neighbor (KNN)
Clickbait menjadi salah satu cara untuk mencari uang dengan meningkatkan traffic pengunjung dan pengunjung. Praktik clickbait pada saat ini sudah merambah pada dunia jurnalistik sedangkan sistem berita media online berbeda dengan media cetak. Sama halnya
Riska Sagita, Ultach Enri, Aji Primajaya
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Kinetic Reverse k-Nearest Neighbor Problem [PDF]
This paper provides the first solution to the kinetic reverse $k$-nearest neighbor (\rknn) problem in $\mathbb{R}^d$, which is defined as follows: Given a set $P$ of $n$ moving points in arbitrary but fixed dimension $d$, an integer $k$, and a query point $q\notin P$ at any time $t$, report all the points $p\in P$ for which $q$ is one of the $k ...
Zahed Rahmati +2 more
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Using K-Nearest Neighbor in Optical Character Recognition
The growth in computer vision technology has aided society with various kinds of tasks. One of these tasks is the ability of recognizing text contained in an image, or usually referred to as Optical Character Recognition (OCR).
Veronica Ong, Derwin Suhartono
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k-Nearest Neighbor Curves in Imaging Data Classification
Background: Lung disease quantification via medical image analysis is classically difficult. We propose a method based on normalized nearest neighborhood distance classifications for comparing individual CT scan air-trapping distributions (representing ...
Yann Cabon +12 more
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Improving Prediction Performance of Dynamic Neighbor Selection in User-Based Collaborative Filtering
Recommender systems have become more and more popular in online environments in recent years. Although different approaches are introduced to build a powerful recommender system, collaborative filtering is one of the most used approaches in the ...
Burcu Demirelli Okkalıoğlu
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With the development of the digital age, library services are facing the challenge of fast and accurate text classification. The traditional K-nearest neighbor algorithm is limited by low classification efficiency and high computational complexity when ...
Changjun Wang, Fengxia You, Yu Wang
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Information Retrieval Document Classified with K-Nearest Neighbor
Along with the rapid advancement of technology development led to the amount of information available is also increasingly abundant. The aim of this study was to determine how the implementation of information retrieval system in the classification of ...
Badruz Zaman +2 more
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Ornamental cork fish is a type of fish that is in great demand among the public as an ornamental fish. Ornamental cork fish have various types and colors; each variation has its own name and is a selling point among ornamental cork fish lovers.
Euis Nur Fitriani Dewi +3 more
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Information Retrieval Document Classified with K-Nearest Neighbor
Along with the rapid advancement of technology development led to the amount of information available is also increasingly abundant. The aim of this study was to determine how the implementation of information retrieval system in the classification of ...
Alifian Sukma +2 more
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