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Computational Statistics
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Bottazzi Schenone, Mariaelena +2 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bottazzi Schenone, Mariaelena +2 more
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-Means: A new generalized k-means clustering algorithm
Pattern Recognition Letters, 2003Summary: This paper presents a generalized version of the conventional \(k\)-means clustering algorithm. Not only is this new one applicable to ellipse-shaped data clusters without dead-unit problem, but also performs correct clustering without pre-assigning the exact cluster number.
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Spherical k-Means++ Clustering
2015k-means clustering (KM) algorithm, also called hard c-means clustering (HCM) algorithm, is a very powerful clustering algorithm [1, 2], but it has a serious problem of strong initial value dependence. To decrease the dependence, Arthur and Vassilvitskii proposed an algorithm of k-means++ clustering (KM++) algorithm on 2007 [3].
Yasunori Endo, Sadaaki Miyamoto
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Root mean square error or mean absolute error? Use their ratio as well
Information Sciences, 2022Dulakshi Santhusitha Kumari Karunasingha
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Optimal bounds of exponential type for arithmetic mean by Seiffert-like mean and centroidal mean
Revista De La Real Academia De Ciencias Exactas, Fisicas Y Naturales - Serie A: Matematicas, 2021Ling Zhu
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Rationale for aggressive or extraordinary means of treatment of advanced cancer†
Ca-A Cancer Journal for Clinicians, 1962David A Karnofsky
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Transmission of a malignant new growth by means of a cell-free filtrate†
Ca-A Cancer Journal for Clinicians, 1972Peyton Rous, Peyton Rous
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The k-means Algorithm: A Comprehensive Survey and Performance Evaluation
Electronics, 2020Mohiuddin Ahmed +2 more
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