Results 31 to 40 of about 18,390,026 (306)
, 2023 Leibniz International Proceedings in Informatics (LIPIcs ...
Grunau, Christoph +2 more
openaire +4 more sources
Functional Factorial K-means Analysis [PDF]
, 2014 A new procedure for simultaneously finding the optimal cluster structure of multivariate functional objects and finding the subspace to represent the cluster structure is presented.
Terada, Yoshikazu, Yamamoto, Michio
core +2 more sources
A Novel K-Means Clustering Algorithm with a Noise Algorithm for Capturing Urban Hotspots
Applied Sciences, 2021 With the development of cities, urban congestion is nearly an unavoidable problem for almost every large-scale city. Road planning is an effective means to alleviate urban congestion, which is a classical non-deterministic polynomial time (NP) hard ...
Xiaojuan Ran +4 more
semanticscholar +1 more source
Metode Boost-K-means untuk Clustering Puskesmas berdasarkan Persentase Bayi yang Diimunisasi
JRST: Jurnal Riset Sains dan Teknologi, 2020 Dinas Kesehatan Kabupaten/Kota adalah satuan kerja pemerintahan daerah kabupaten/kota yang bertanggung jawab menyelenggarakan urusan pemerintahan dalam bidang kesehatan di kabupaten/kota.
Ahmad Irfan Abdullah +2 more
doaj +1 more source
YOLOv5-TS: Detecting traffic signs in real-time
Frontiers in Physics, 2023 Traffic sign detection plays a vital role in assisted driving and automatic driving. YOLOv5, as a one-stage object detection solution, is very suitable for Traffic sign detection.
Jiquan Shen +5 more
doaj +1 more source
Differentially Private Compressive K-means [PDF]
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 This work addresses the problem of learning from large collections of data with privacy guarantees. The sketched learning framework proposes to deal with the large scale of datasets by compressing them into a single vector of generalized random moments, from which the learning task is then performed.
Schellekens, Vincent +6 more
openaire +4 more sources
, 2021 Machine learning algorithms are an important measure with which to perform landslide susceptibility assessments, but most studies use GIS-based classification methods to conduct susceptibility zonation.
Zizheng Guo +4 more
semanticscholar +1 more source
Introduction to Geographic and Spatial Approaches in the History of Archaeology
Bulletin of the History of Archaeology, 2015 Who studies the historiography of archaeology? Who reads the history of the discipline? Recent years have seen growing interest in the history of archaeology as is reflected in works such as Christenson (1989), Trigger (1989; 2006), Chakrabarti (1988 ...
Neha Gupta, Bernard K Means
doaj +1 more source
A fast version of the k-means classification algorithm for astronomical applications [PDF]
, 2014 Context. K-means is a clustering algorithm that has been used to classify large datasets in astronomical databases. It is an unsupervised method, able to cope very different types of problems. Aims.
Almeida, J. Sánchez +1 more
core +3 more sources
IOP Conference Series: Materials Science and Engineering, 2018 Clustering is a data mining technique used to analyse data that has variations and the number of lots. Clustering was process of grouping data into a cluster, so they contained data that is as similar as possible and different from other cluster objects.
M. Syakur +3 more
semanticscholar +1 more source