Search Results - Clustering and Pattern Detection

Splitting Methods for Convex Clustering by Chi, Eric C., Lange, Kenneth

“…Clustering is a fundamental problem in many scientific applications. Standard methods such as k-means, Gaussian mixture models, and hierarchical clustering, however, are beset by local minima, which are sometimes drastically suboptimal…”
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Statistical Significance of Clustering Using Soft Thresholding by Huang, Hanwen, Liu, Yufeng, Yuan, Ming, Marron, J. S.

“…Clustering methods have led to a number of important discoveries in bioinformatics and beyond…”
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Scalable Detection of Anomalous Patterns With Connectivity Constraints by Speakman, Skyler, McFowland, Edward, Neill, Daniel B.

“…We present GraphScan, a novel method for detecting arbitrarily shaped connected clusters in graph or network data…”
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Detecting patterns in financial data through weighted time-frequency domain clustering: Detecting patterns in financial data through weighted by Balzanella, Antonio, Fortuna, Francesca, Naccarato, Alessia

“…The paper introduces a strategy for identifying representative patterns in financial time series data from both temporal and frequency perspectives…”
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Cluster-NMS: Improving Crowded Object Detection through Clustering Pattern by Liao, Junguo, Tian, Haonan

“…Crowded object detection is a highly challenging task in the field of object detection…”
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K -Profiles: A Nonlinear Clustering Method for Pattern Detection in High Dimensional Data by Yu, Tianwei, Lu, Jianwei, Zhao, Qing, Wang, Kai

“… A very first step towards elucidating hidden patterns and understanding the massive data is the application of clustering techniques…”
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Modelling process durations with gamma mixtures for right-censored data: Applications in customer clustering, pattern recognition, drift detection, and rationalisation by Yang, Lingkai, McClean, Sally, Burke, Kevin, Donnelly, Mark, Khan, Kashaf

“…Customer modelling, particularly concerning length of stay or process duration, is vital for identifying customer patterns and optimising business processes…”
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A scanning method for detecting clustering pattern of both attribute and structure in social networks by Wang, Tai-Chi, Phoa, Frederick Kin Hing

“…Community/cluster is one of the most important features in social networks. Many cluster detection methods were proposed to identify such an important pattern…”
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A cortex-like learning machine for temporal hierarchical pattern clustering, detection, and recognition by Lo, James Ting-Ho

“…A learning machine, called a clustering interpreting probabilistic associative memory (CIPAM), is proposed…”
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A Low Overhead High Test Compression Technique Using Pattern Clustering With n-Detection Test Support by Wang, Seongmoon, Wei, Wenlong, Wang, Zhanglei

“… The proposed technique can be extended to generate test patterns that achieve high n-detection fault coverage…”
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Recurrent neural network with density-based clustering for group pattern detection in energy systems by Djenouri, Youcef, Belhadi, Asma, Lin, Jerry Chun-Wei

“… The efficient combination between the recurrent neural network and the density-based clustering enables to find the group patterns in the power system…”
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An Incremental Clustering Algorithm with Pattern Drift Detection for IoT-Enabled Smart Grid System by Jiang, Zigui, Lin, Rongheng, Yang, Fangchun

“… patterns extracted from load data clustering. The changeability of consumption behaviors requires load pattern update for achieving accurate consumer segmentation and effective demand response…”
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STAD: Ship trajectory anomaly detection in ocean with dynamic pattern clustering by Li, Hui, Li, Wengen, Wang, Shuyu, Yang, Hanchen, Guan, Jihong, Zhang, Yichao

“…) estimation network to learn the underlying complex clustering patterns of ship trajectories and utilize the learned patterns to enhance trajectory anomaly detection…”
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Clustering of Pattern Recognition Receptors for Fungal Detection: e1003873 by Inoue, Makoto, Shinohara, Mari L

“…[...]it has been reported that DC-SIGN synergizes TLR signaling through RAF1, a serine/threonine kinase, which induces phosphorylation of the p65 subunit of…”
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Detection and clustering of mixed-type defect patterns in wafer bin maps by Kim, Jinho, Lee, Youngmin, Kim, Heeyoung

“…, value 1 for good dies and value 0 for defective dies). The bin values of adjacent dies are often spatially correlated, forming some systematic defect patterns…”
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From edit distance to augmented space-time-weighted edit distance: Detecting and clustering patterns of human activities in Puget Sound region by Zhai, Wei, Bai, Xueyin, Peng, Zhong-ren, Gu, Chaolin

“… Existing studies of similarity measures based on traditional edit distance (ED), specifically on activity patterns, do not reflect the spatiotemporal characteristics in the measurement model…”
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Clustering of Pattern Recognition Receptors for Fungal Detection by Inoue, Makoto, Shinohara, Mari L.

“…  [...]it has been reported that DC-SIGN synergizes TLR signaling through RAF1, a serine/threonine kinase, which induces phosphorylation of the p65 subunit of…”
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Bootstrap aggregative mean shift clustering for big data anti-pattern detection analytics in 5G/6G communication networks by Ramakrishnan, Vinothsaravanan, Chenniappan, Palanisamy, Dhanaraj, Rajesh Kumar, Hsu, Ching-Hsien, Xiao, Yingyuan, Al-Turjman, Fadi

“…•Identify anti-patterns in SQL query log database.•Minimize false-positive rate while detecting anti-patterns…”
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Contrastive deep clustering for detecting new defect patterns in wafer bin maps by Baek, Insung, Kim, Seoung Bum

“… Thus, accurately classifying WBM defect patterns is essential to maintain high quality and enhance the overall yield…”
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K-means clustering-driven detection of time-resolved vortex patterns and cyclic variations inside a direct injection engine by Zhao, Fengnian, Hung, David L.S., Wu, Shengqi

“… In this study, a two-step vortex pattern detection and quantification…”
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