Results 1 to 10 of about 1,834,453 (147)
K-Means Cloning: Adaptive Spherical K-Means Clustering [PDF]
Algorithms, 2018 We propose a novel method for adaptive K-means clustering. The proposed method overcomes the problems of the traditional K-means algorithm. Specifically, the proposed method does not require prior knowledge of the number of clusters.
Abdel-Rahman Hedar +3 more
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Causal K-Means Clustering. [PDF]
J R Stat Soc Series B Stat MethodolAbstract Causal effects are often characterized at the population level, which can mask important heterogeneity across latent subgroups. Since the subgroup structure is unknown, identifying and evaluating subgroup specific effects is substantially more challenging than standard population level analysis.
Kim K, Kim J, Kennedy EH.
europepmc +3 more sources
t-k-means: A ROBUST AND STABLE k-means VARIANT [PDF]
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 $k$-means algorithm is one of the most classical clustering methods, which has been widely and successfully used in signal processing. However, due to the thin-tailed property of the Gaussian distribution, $k$-means algorithm suffers from relatively poor performance on the dataset containing heavy-tailed data or outliers.
Yiming Li 0004 +5 more
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Video Surveillance Detection Method Based on Improved YOLOv3 algorithm and Human Body Information Data Fusion [PDF]
Zhengzhou Daxue xuebao. Gongxue ban, 2021 In the current community video surveillance system, only a face camera was used to collect the entrance and exit face data, other valuable human information was negelected. In this paper, a human information detection method that combined improved YOLOv3
ZHANG Zhen +3 more
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Exact Acceleration of K-Means++ and K-Means|| [PDF]
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021 K-Means++ and its distributed variant K-Means|| have become de facto tools for selecting the initial seeds of K-means. While alternatives have been developed, the effectiveness, ease of implementation,and theoretical grounding of the K-means++ and || methods have made them difficult to "best" from a holistic perspective.
openaire +2 more sources
Barekeng, 2021 Mengembangkan wilayah untuk mengurangi kesenjangan dan menjamin pemerataan merupakan salah satu dari tujuh agenda Pembangunana RPJMN IV Tahun 2020-2024. Setiap wilayah tentunya memiliki potensi yang berbeda, baik potensi fisik maupun non-fisik. Perbedaan
Muhamad Budiman Johra
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Improved Guarantees for k-means++ and k-means++ Parallel
CoRR, 2020 In this paper, we study k-means++ and k-means++ parallel, the two most popular algorithms for the classic k-means clustering problem. We provide novel analyses and show improved approximation and bi-criteria approximation guarantees for k-means++ and k-means++ parallel.
Konstantin Makarychev +2 more
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A Lightweight Crop Pest Detection Method Based on Convolutional Neural Networks
Applied Sciences, 2022 Existing object detection methods with many parameters and computations are not suitable for deployment on devices with poor performance in agricultural environments.
Zekai Cheng +5 more
doaj +1 more source
TSR-YOLO: A Chinese Traffic Sign Recognition Algorithm for Intelligent Vehicles in Complex Scenes
Sensors, 2023 Recognizing traffic signs is an essential component of intelligent driving systems’ environment perception technology. In real-world applications, traffic sign recognition is easily influenced by variables such as light intensity, extreme weather, and ...
Weizhen Song, Shahrel Azmin Suandi
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