Results 11 to 20 of about 509,989 (407)
Stop using the elbow criterion for k-means and how to choose the number of clusters instead [PDF]
SIGKDD Explorations, 2022 A major challenge when using k-means clustering often is how to choose the parameter k, the number of clusters. In this letter, we want to point out that it is very easy to draw poor conclusions from a common heuristic, the "elbow method".
Erich Schubert
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Glomangioma of the elbow [PDF]
Dermatology Online Journal, 2021 We present a patient with a painful, mobile nodule on the elbow. The nodule was skin-colored and had no punctum or discharge. It was excised and histopathology showed that the lesion was a glomangioma, or glomuvenous malformation. This is a neoplasm that arises from the glomus body, a thermoregulatory neurovascular structure.
Stumpf, Natalie +3 more
openaire +4 more sources
EURASIP Journal on Wireless Communications and Networking, 2020 Clustering, a traditional machine learning method, plays a significant role in data analysis. Most clustering algorithms depend on a predetermined exact number of clusters, whereas, in practice, clusters are usually unpredictable.
Congming Shi +5 more
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Journal of Orthopaedic Surgery and Research, 2022 Background The purpose of the present study was to systematically review the current treatment strategies for the treatment of Neer type IIB distal clavicle fractures in terms of functional outcome and complication rates and to examine the most ...
Andreas Panagopoulos +7 more
doaj +1 more source
Pyrocarbon hemiarthroplasty and the shoulder: biomechanical and clinical results of an emerging treatment option [PDF]
Clinics in Shoulder and Elbow, 2023 While shoulder hemiarthroplasty is still used to treat young patients with shoulder pathology, the use of this procedure has substantially declined in recent years due to its significant complication profile.
Mohamad Y. Fares +4 more
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Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019), 2020 Clustering is one of the main task in datamining. It is useful to group and cluster the data. There are a few ways to cluster the data such as partitional-based, hierarchical-based and density based.
D. Saputra +2 more
semanticscholar +1 more source
Effect of laser versus placebo in tennis elbow.
Scandinavian Journal of Rehabilitation Medicine, 2020 The purposes of this study were to compare the pain alleviating effects of laser treatment and placebo in tennis elbow. Also, the effects of laser radiation on the radial sensory nerve conduction, and the temperature changes in the tissue surrounding the
Thomas Lundeberg, E. Haker, M. Thomas
semanticscholar +1 more source
Journal of Experimental Orthopaedics, 2021 Purpose The purpose of this study was to investigate the anatomical feasibility of a middle trapezius transfer below the acromion for treatment of irreparable supraspinatus tendon tears. Methods This study involved 20 human cadaveric shoulders in 10 full‐
Philipp Moroder +12 more
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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