Journal ArticleDOI
A K-Means Clustering Algorithm
J. A. Hartigan,M. A. Wong +1 more
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This article is published in Journal of The Royal Statistical Society Series C-applied Statistics.The article was published on 1979-03-01. It has received 10702 citations till now. The article focuses on the topics: Canopy clustering algorithm & Correlation clustering.read more
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Proceedings ArticleDOI
Discriminatively Embedded K-Means for Multi-view Clustering
TL;DR: A novel multi-view clustering method called Discriminatively Embedded K-Means (DEKM) is proposed, which embeds the synchronous learning of multiple discriminative subspaces into multi- view K- means clustering to construct a unified framework, and adaptively control the intercoordinations between these subspacing simultaneously.
Journal ArticleDOI
Stable isotopic evidence for diet at the Imperial Roman coastal site of Velia (1st and 2nd Centuries AD) in Southern Italy
Oliver E. Craig,Marco Biazzo,Tamsin C. O'Connell,Peter Garnsey,Cristina Martínez-Labarga,Roberta Lelli,Loretana Salvadei,Gianna Tartaglia,Alessia Nava,Lorena Renò,Antonella Fiammenghi,Olga Rickards,Luca Bondioli +12 more
TL;DR: A stable isotope palaeodietary study of a Imperial Roman population interred near the port of Velia in Southern Italy during the 1st and 2nd centuries AD suggests that a number of individuals had greater access to marine resources, especially high trophic level fish.
Journal Article
A Comparative Study Of Data Clustering Techniques
Nishu Sharma,Atul Pratap Singh +1 more
TL;DR: This study tells us about the comparison between data mining techniques on the basis of size, model, application areas and others features and tells us when and which datamining techniques are used.
Journal ArticleDOI
New Multistage and Stochastic Mathematical Model for Maximizing RES Hosting Capacity—Part I: Problem Formulation
Sergio F. Santos,Desta Z. Fitiwi,Miadreza Shafie-khah,Abebe W. Bizuayehu,C.M.P. Cabrita,Joao P. S. Catalao +5 more
TL;DR: A new multistage and stochastic mathematical model is developed to support the decision-making process of planning distribution network systems (DNS) for integrating large-scale “clean” energy sources.
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Alzheimer's Disease Diagnosis Using Landmark-Based Features From Longitudinal Structural MR Images.
TL;DR: A landmark-based feature extraction method for AD diagnosis using longitudinal structural MR images, which does not require nonlinear registration or tissue segmentation in the application stage and is also robust to inconsistencies among longitudinal scans.
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