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Performance guarantees for hierarchical clustering
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Density Peaks Clustering based on Nature Nearest Neighbor and Multi-cluster Mergers
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Heterogeneous Federated Semantic Segmentation
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Automated forensic ink determination in handwritten documents by clustering
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Minimax and Multi-Criteria Selection of Representative Model Portfolios for Complex Systems Analysis
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Computer Science & Software Engineering : Proceedings of the 2nd Student Workshop (CS&SE@SW 2019), Kryvyi Rih, Ukraine, November 29, 2019
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Software Defect Prediction Based on Semantic Views of Metrics: Clustering Analysis and Model Performance Analysis
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Investigating the Correspondence of Clinical Diagnostic Grouping With Underlying Neurobiological and Phenotypic Clusters Using Unsupervised Machine Learning
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Neurofunctional Segmentation Shifts in the Hippocampus
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Probing the Nanosecond Dynamics of a Designed Three-Stranded Beta-Sheet with a Massively Parallel Molecular Dynamics Simulation
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An Approximate Belief Rule Base Student Examination Passing Prediction Method Based on Adaptive Reference Point Selection Using Symmetry
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An unsupervised heterogeneous log-based framework for anomaly detection
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Validation of Clustering Techniques for Student Grouping in Intelligent E-learning Systems
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Validation of Clustering Techniques for Student Grouping in Intelligent E-learning Systems
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Inapproximability for Local Correlation Clustering and Dissimilarity Hierarchical Clustering
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K-Linkage: A New Agglomerative Approach for Hierarchical Clustering
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Predictive Analysis of Spatial Data and Time Series to Predict Earthquake Magnitudes by Using Data Mining Approach
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Physicochemical characteristic, nutrient, and fish production in different types of mangrove forest in North Sumatra and Aceh Provinces of Indonesia
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Efficient Clustering with Limited Distance Information
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Efficient Clustering with Limited Distance Information
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Improving Quality of Hierarchical Clustering for Large Data Series
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Hierarchical Clustering via Spreading Metrics
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Hierarchical Clustering: Objective Functions and Algorithms
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Data-Driven Clustering via Parameterized Lloyd's Families
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Bisect and Conquer: Hierarchical Clustering via Max-Uncut Bisection
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A Notion of Individual Fairness for Clustering
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An Objective for Hierarchical Clustering in Euclidean Space and its Connection to Bisecting K-means
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From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering
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Unsupervised Embedding of Hierarchical Structure in Euclidean Space
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Some Theory for Texture Segmentation
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ParChain: A Framework for Parallel Hierarchical Agglomerative Clustering using Nearest-Neighbor Chain
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Summarization Techniques for Pattern Collections in Data Mining
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Improved Preprocessing techniques for Analyzing Patterns in Web Personalization Process
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Cluster Analysis: Preliminaries and Techniques
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Analysis of Clustering Algorithm of Weka Tool on Air Pollution Dataset
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Towards Predicting Software Defects with Clustering Techniques
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The Use of Digital Technologies for Flipped Learning Implementation
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