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Two Simple but Efficient Algorithms to Recognize Robinson Dissimilarities 两种简单而有效的罗宾逊不相似度识别算法
IF 2 4区 计算机科学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Journal of Classification
Pub Date : 2023-08-18 DOI: 10.1007/s00357-023-09446-y
M. Carmona, V. Chepoi, G. Naves, P. Préa
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引用次数: 0
A Robust Contextual Fuzzy C-Means Clustering Algorithm for Noisy Image Segmentation 一种鲁棒上下文模糊c均值聚类算法用于噪声图像分割
IF 2 4区 计算机科学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Journal of Classification
Pub Date : 2023-08-09 DOI: 10.1007/s00357-023-09443-1
Karim Kalti, Asmae Touil
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引用次数: 0
Do Prior Information on Performance of Individual Classifiers for Fusion of Probabilistic Classifier Outputs Matter? 对于概率分类器输出的融合，单个分类器性能的先验信息重要吗?
IF 2 4区 计算机科学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Journal of Classification
Pub Date : 2023-07-22 DOI: 10.1007/s00357-023-09444-0
Jordan F. Masakuna, Pierre K. Kafunda
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引用次数: 0
Editorial: Journal of Classification Vol. 40-2 社论:分类杂志卷40-2
IF 2 4区 计算机科学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Journal of Classification
Pub Date : 2023-07-01 DOI: 10.1007/s00357-023-09442-2
P. McNicholas
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引用次数: 0
A Survey on Model-Based Co-Clustering: High Dimension and Estimation Challenges 基于模型的共聚类研究:高维和估计挑战
IF 2 4区 计算机科学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Journal of Classification
Pub Date : 2023-07-01 DOI: 10.1007/s00357-023-09441-3
C. Biernacki, J. Jacques, Christine Keribin
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引用次数: 0
Dynamic Kernel Clustering by Spider Monkey Optimization Algorithm 基于蜘蛛猴优化算法的动态核聚类
IF 2 4区 计算机科学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Journal of Classification
Pub Date : 2023-06-18 DOI: 10.1007/s00357-023-09439-x
Vaishali P. Patel, L. Vishwamitra
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引用次数: 0
CPclus: Candecomp/Parafac Clustering Model for Three-Way Data CPclus:Candecc/Parafac三向数据聚类模型
IF 2 4区 计算机科学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Journal of Classification
Pub Date : 2023-06-15 DOI: 10.1007/s00357-023-09440-4
Donatella Vicari, P. Giordani
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引用次数: 0
Matrix-Variate Hidden Markov Regression Models: Fixed and Random Covariates 矩阵-变量隐马尔可夫回归模型:固定和随机协变量
IF 2 4区 计算机科学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Journal of Classification
Pub Date : 2023-06-12 DOI: 10.1007/s00357-023-09438-y
S. Tomarchio, A. Punzo, A. Maruotti
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引用次数: 0
Zero-Inflated Time Series Clustering Via Ensemble Thick-Pen Transform. 基于集成粗笔变换的零膨胀时间序列聚类。
IF 2 4区 计算机科学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Journal of Classification
Pub Date : 2023-06-12 DOI: 10.1007/s00357-023-09437-z
Minji Kim, Hee-Seok Oh, Yaeji Lim

This study develops a new clustering method for high-dimensional zero-inflated time series data. The proposed method is based on thick-pen transform (TPT), in which the basic idea is to draw along the data with a pen of a given thickness. Since TPT is a multi-scale visualization technique, it provides some information on the temporal tendency of neighborhood values. We introduce a modified TPT, termed 'ensemble TPT (e-TPT)', to enhance the temporal resolution of zero-inflated time series data that is crucial for clustering them efficiently. Furthermore, this study defines a modified similarity measure for zero-inflated time series data considering e-TPT and proposes an efficient iterative clustering algorithm suitable for the proposed measure. Finally, the effectiveness of the proposed method is demonstrated by simulation experiments and two real datasets: step count data and newly confirmed COVID-19 case data.

本研究开发了一种新的高维零膨胀时间序列数据聚类方法。该方法基于粗笔变换（TPT），其基本思想是用给定厚度的笔沿着数据绘制。由于TPT是一种多尺度可视化技术，它提供了一些关于邻域值的时间趋势的信息。我们引入了一种改进的TPT，称为“集成TPT（e-TPT）”，以提高零膨胀时间序列数据的时间分辨率，这对有效地对其进行聚类至关重要。此外，本研究定义了一种考虑e-TPT的零膨胀时间序列数据的改进相似性度量，并提出了一种适用于该度量的高效迭代聚类算法。最后，通过模拟实验和两个真实数据集：步数数据和新确诊的新冠肺炎病例数据，验证了该方法的有效性。
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引用次数: 0
E-ReMI: Extended Maximal Interaction Two-mode Clustering E-ReMI：扩展的最大交互双模聚类
IF 2 4区 计算机科学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Journal of Classification
Pub Date : 2023-05-10 DOI: 10.1007/s00357-023-09434-2
Zaheer Ahmed, Alberto Cassese, G. V. van Breukelen, J. Schepers
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引用次数: 0
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