Výsledky vyhledávání - "hierarchical clustering"

Revisiting agglomerative clustering Autor Tokuda, Eric K., Comin, Cesar H., Costa, Luciano da F.

“…Hierarchical agglomerative methods stand out as particularly effective and popular approaches for clustering data. Yet, these methods have not been…”
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dbscan : Fast Density-Based Clustering with R Autor Hahsler, Michael, Piekenbrock, Matthew, Doran, Derek

“…This article describes the implementation and use of the R package dbscan, which provides complete and fast implementations of the popular density-based…”
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Review of Clustering Techniques in Control System Autor Singh, Saumya, Srivastava, Smriti

“…Data clustering is an important tool in data mining, that helps to retrieve useful data from large amount of available data. In this digital era data is…”
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Artificial Intelligence Based Hierarchical Clustering of Patient Types and Intervention Categories in Adult Spinal Deformity Surgery: Towards a New Classification Scheme that Predicts Quality and Value Autor Ames, Christopher P, Smith, Justin S, Pellisé, Ferran, Kelly, Michael, Alanay, Ahmet, Acaroğlu, Emre, Pérez-Grueso, Francisco Javier Sánchez, Kleinstück, Frank, Obeid, Ibrahim, Vila-Casademunt, Alba, Shaffrey, Jr, Christopher I, Burton, Douglas, Lafage, Virginie, Schwab, Frank, Shaffrey, Sr, Christopher I, Bess, Shay, Serra-Burriel, Miquel

“…Retrospective review of prospectively-collected, multicenter adult spinal deformity (ASD) databases. To apply artificial intelligence (AI)-based hierarchical…”
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A machine learning and genetic algorithm-based method for predicting width deviation of hot-rolled strip in steel production systems Autor Ji, Yingjun, Liu, Shixin, Zhou, Mengchu, Zhao, Ziyan, Guo, Xiwang, Qi, Liang

“…Width deviation is an important metric for evaluating the quality of a hot-rolled strip in steel production systems. This paper considers a width deviation…”
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Hierarchical Clustering to Find Representative Operating Periods for Capacity-Expansion Modeling Autor Liu, Yixian, Sioshansi, Ramteen, Conejo, Antonio J.

“…Power system capacity-expansion models are typically intractable if every operating period is represented. This issue is normally overcome by using a subset of…”
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Fast hierarchical clustering of local density peaks via an association degree transfer method Autor Guan, Junyi, Li, Sheng, He, Xiongxiong, Zhu, Jinhui, Chen, Jiajia

“…Density Peak clustering (DPC) as a novel algorithm can fast identify density peaks. But it comes along with two drawbacks: its allocation strategy may produce…”
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PIFHC: The Probabilistic Intuitionistic Fuzzy Hierarchical Clustering Algorithm Autor Varshney, Ayush K., Muhuri, Pranab K., Danish Lohani, Q.M.

“…Hierarchical clustering techniques help in building a tree-like structure called dendrogram from the data points which can be used to find the closest related…”
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A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects Autor Ezugwu, Absalom E., Ikotun, Abiodun M., Oyelade, Olaide O., Abualigah, Laith, Agushaka, Jeffery O., Eke, Christopher I., Akinyelu, Andronicus A.

“…Clustering is an essential tool in data mining research and applications. It is the subject of active research in many fields of study, such as computer…”
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Comprehensive survey on hierarchical clustering algorithms and the recent developments Autor Ran, Xingcheng, Xi, Yue, Lu, Yonggang, Wang, Xiangwen, Lu, Zhenyu

“…Data clustering is a commonly used data processing technique in many fields, which divides objects into different clusters in terms of some similarity measure…”
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Genie+OWA: Robustifying hierarchical clustering with OWA-based linkages Autor Cena, Anna, Gagolewski, Marek

“…We investigate the application of the Ordered Weighted Averaging (OWA) data fusion operator in agglomerative hierarchical clustering. The examined setting…”
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Smart Zoning for Enhanced Urban Safety: Crime Risk Assessment Using Unsupervised Learning Autor Mureşan, Sabina-Petruţa, Căpîlnaş, Matei-Vasile, Coroiu, Adriana Mihaela

“…The primary objective of this article is to enhance community safety by employing unsupervised machine learning algorithms in the development of a mobile…”
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A multiscale environment for learning by diffusion Autor Murphy, James M., Polk, Sam L.

“…•We introduce the MELD data model: a diffusion framework for multiscale clustering.•We show how cluster coherence and separation interact with diffusion in…”
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Transmissibility-based damage detection with hierarchical clustering enhanced by multivariate probabilistic distance accommodating uncertainty and correlation Autor Mei, Lin-Feng, Yan, Wang-Ji, Yuen, Ka-Veng, Ren, Wei-Xin, Beer, Michael

“…•A hierarchical clustering algorithm enhanced by multivariate probabilistic distance is proposed for damage detection.•Multivariate probabilistic distance…”
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Comprehensive Dataset Building and Recognition of Isolated Handwritten Kannada Characters Using Machine Learning Models Autor Hebbi, Chandravva, Mamatha, H.R.

“…In this work, an attempt is made to build a dataset for handwritten Kannada characters and also to recognize the isolated Kannada vowels, consonants,…”
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NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set Autor Charrad, Malika, Ghazzali, Nadia, Boiteau, Véronique, Niknafs, Azam

“…Clustering is the partitioning of a set of objects into groups (clusters) so that objects within a group are more similar to each others than objects in…”
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Customer segmentation by web content mining Autor Zhou, Jinfeng, Wei, Jinliang, Xu, Bugao

“…This article introduces a new dimension, Interpurchase Time (T), into the existing RFM (Recency, Frequency, and Monetary) model to form an expanded RFMT model…”
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Fast R Functions for Robust Correlations and Hierarchical Clustering Autor Langfelder, Peter, Horvath, Steve

“…Many high-throughput biological data analyses require the calculation of large correlation matrices and/or clustering of a large number of objects. The…”
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An agglomerative hierarchical clustering algorithm for linear ordinal rankings Autor Liu, Nana, Xu, Zeshui, Zeng, Xiao-Jun, Ren, Peijia

“…This paper mainly proposes a new method for clustering linear ordinal ranking (LOR) information by agglomerative hierarchical clustering (AHC) algorithm…”
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基于层次聚类法与皮尔逊相关系数的配电网拓扑校验方法 Autor 张华, 龙呈, 胡思洋, 廖凯, 高艺文

“…配电网络拓扑日益复杂,且新投异动量不断增长,导致配电网拓扑频繁变化,传统的人工校验方式难以满足快速性和准确性的要求.针对该问题提出了一种基于模型文件和实测数据相关…”
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