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A Benchmark Suite for Clustering Algorithms
, 2022 A Framework for Benchmarking Clustering Algorithms Benchmark Suite Version 1.0.1 How to Cite: Please cite the following paper which describes the overall benchmarking methodology: Gagolewski M., A Framework for Benchmarking Clustering Algorithms, 2022,
Gagolewski, Marek
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A Review of Clustering Algorithms Based on Anchor Point Acceleration Mechanism
Shanghai Jiaotong Daxue xuebaoWith the advent of the big data era, clustering algorithms have become pivotal in data mining and machine learning. However, the exponential growth in data size and dimensionality has resulted in escalating time and space complexities for traditional ...
WU Qinting, FENG Yuzhe, PAN Jinyan, ZHANG Haifeng, CAO Chao, GAO Yunlong
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A framework for benchmarking clustering algorithms [PDF]
, 2022 The evaluation of clustering algorithms can involve running them on a variety of benchmark problems, and comparing their outputs to the reference, ground-truth groupings provided by experts.
Gagolewski, Marek
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Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
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Data Clustering on Breast Cancer Data Using Firefly Algorithm with Golden Ratio Method
Advances in Electrical and Computer Engineering, 2015 Heuristic methods are problem solving methods. In general, they obtain near-optimal solutions, and they do not take the care of provability of this case.
DEMIR, M., KARCI, A.
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Accelerating Bayesian hierarchical clustering of time series data with a randomised algorithm [PDF]
, 2013 We live in an era of abundant data. This has necessitated the development of new and innovative statistical algorithms to get the most from experimental data.
Cooke, Emma J. +17 more
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Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis
FEBS Letters, EarlyView.Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee +7 more
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Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics
FEBS Letters, EarlyView.Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt +8 more
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Machine Learning Platform for Profiling and Forecasting at Microgrid Level
Electrical, Control and Communication Engineering, 2019 The shift towards distributed generation and microgrids has renewed the interest in forecasting algorithms and methods, which need to take into account the advances in information, metering and control technologies in order to address the challenges of ...
Mele Enea +2 more
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Effective Density-Based Clustering Algorithms for Incomplete Data
Big Data Mining and Analytics, 2021 Density-based clustering is an important category among clustering algorithms. In real applications, many datasets suffer from incompleteness. Traditional imputation technologies or other techniques for handling missing values are not suitable for ...
Zhonghao Xue, Hongzhi Wang
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