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Comparison of Hierarchic Clustering Methods with Cophenetic Correlation Coefficient in Big Data.

Autor: SARAÇLI, Sinan, AKŞİT, Murat

Publikováno v: Afyon Kocatepe University Journal of Science & Engineering / Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi; haz2022, Vol. 22 Issue 3, p552-559, 8p

Hierarchic Clustering-Based Face Enhancement for Images Captured in Dark Fields

Autor: Zhiqiang Zhang, Na Zheng, Haoting Liu

Publikováno v: Electronics
Volume 10
Issue 8
Electronics, Vol 10, Iss 936, p 936 (2021)

A hierarchic clustering-based enhancement is proposed to solve the luminance compensation of face recognition in the dark field. First, the face image is divided into five levels by a clustering method. Second, the results above are mapped into three

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f18968874d3ed9dbe2eecc3fe7aabe33

Determining the management zones with hierarchic and non-hierarchic clustering methods

Autor: J. Galambošová, V. Rataj, R. Prokeinová, J. Prešinská

Publikováno v: Research in Agricultural Engineering, Vol 60, Iss Special Issue, Pp S44-S51 (2014)

Delineation of the management zones of a field is commonly used in precision agriculture technology. There are many techniques used to identify management zones. The most used technique is k-means clustering, where the number of clusters is managed b

Externí odkaz: https://doaj.org/article/117999aba024411e805c627c7dd4f4a8

The effectiveness of query-specific hierarchic clustering in information retrieval

Autor: Tombros, Anastasios, Villa, Robert, Van Rijsbergen, C.J

Publikováno v: In Information Processing and Management 2002 38(4):559-582