Results 1 to 10 of about 104,528 (306)
Chromatic k-nearest neighbor queries
Journal of Computational Geometry, 2022 Let $P$ be a set of $n$ colored points in $\mathbb{R}^d$. We develop efficient data structures that store $P$ and can answer chromatic $k$-nearest neighbor ($k$-NN) queries.
Thijs van der Horst +2 more
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Gravity-Matching Algorithm Based on K-Nearest Neighbor [PDF]
Sensors, 2022 The gravity-aided inertial navigation system is a technique using geophysical information, which has broad application prospects, and the gravity-map-matching algorithm is one of its key technologies.
Shuaipeng Gao, Tijing Cai, Ke Fang
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A novel version of k nearest neighbor: Dependent nearest neighbor
Applied Soft Computing Journal, 2017 k nearest neighbor (kNN) is one of the basic processes behind various machine learning methods In kNN, the relation of a query to a neighboring sample is basically measured by a similarity metric, such as Euclidean distance. This process starts with mapping the training dataset onto a one-dimensional distance space based on the calculated similarities,
Ömer Faruk Ertugrul, M Emin Tağluk
exaly +3 more sources
Jurnal Komputer Terapan, 2023 Corona Virus Disease 2019 (covid-19) merupakan pandemi dunia yang menimbulkan berbagai kerugian di dunia. Diagnosis covid-19 yang valid memerlukan waktu yang cukup lama dan hasil ini tidak sepenuhnya akurat.
Sapriadi Sapriadi
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Modernizing k‐nearest neighbors
Stat, 2021 The k‐nearest neighbors (k‐NN) method is one of the oldest statistical/machine learning techniques. It is included in virtually every major package, such as caret, parsnip, mlr3 and scikit‐learn. Yet those packages do not go beyond the basics. With today's high‐speed computation capability, k‐NN can be made much more powerful.
Robin Elizabeth Yancey +2 more
openaire +1 more source
JOIN: Jurnal Online Informatika, 2021 Sentiment analysis is a data processing to recognize topics that people talk about and their sentiments toward the topics, one of which in this study is about large-scale social restrictions (PSBB).
Ikhsan Romli +2 more
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Quality-related fault diagnosis based on -nearest neighbor rule for non-linear industrial processes
International Journal of Distributed Sensor Networks, 2021 The fault diagnosis approaches based on k -nearest neighbor rule have been widely researched for industrial processes and achieve excellent performance. However, for quality-related fault diagnosis, the approaches using k -nearest neighbor rule have been
Zelin Ren +2 more
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Analysis K-Nearest Neighbor Method in Classification of Vegetable Quality Based on Color
Journal of Applied Engineering and Technological Science, 2022 In this research, the process of applying the K-Nearst Neighbor (KNN) method will be carried out, which is a classification method for a collection of data based on the majority of categories and the goal is to classify new objects based on attributes ...
Purwa Hasan Putra +2 more
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IEEE Access, 2020 The k-nearest neighbor (kNN) algorithm is a classic supervised machine learning algorithm. It is widely used in cyber-physical-social systems (CPSS) to analyze and mine data.
Wei Zhang +3 more
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Research on Stratum Identification Method Based on TBM Tunneling Characteristic Parameters
Complexity, 2022 In order to obtain continuous stratum information during TBM tunneling, using TBM tunneling parameters, stratum recognition is carried out through the K-nearest neighbor model, and the model is improved by the entropy weight method to improve the stratum
Wei Wu +5 more
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