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Fast Agglomerative Clustering Using a k-Nearest Neighbor Graph
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Incremental Cluster Validity Indices for Online Learning of Hard Partitions: Extensions and Comparative Study
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Clustering by Using the Way of Atomic Fission
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A New Internal Validity Index for Fuzzy c-Means Algorithm
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An Enhanced Density Peak Clustering Algorithm With Dimensionality Reduction and Relative Density Normalization for High-Dimensional Duplicate Data
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Clustering Based on the In-Tree Graph Structure and Affinity Propagation
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cSmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Clustering
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The Flaw Within: Identifying CVSS Score Discrepancies in the NVD
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New Version of Fast Automatic Determination of Cluster Numbers for High Dimensional Big Data
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An Analysis to Find the Efficient Clustering Algorithm for Identification of User Access Pattern
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Image categorization by learning with context and consistency
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Parallel Construction of Approximate kNN Graph
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Micro Actions and Deep Static Features for Activity Recognition
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Evolving clustering algorithm based on average cluster distance - eCAD
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Software birthmark based theft detection of JavaScript programs using agglomerative clustering and Frequent Subgraph Mining
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Nature-Inspired Metaheuristics for High-Dimensional Data Clustering
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Adaptive Dimensionality Reduction for Local Principal Component Analysis
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A multi-prototype clustering algorithm based on minimum spanning tree
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Visualizing smart water meter dataset clustering with parametric t-distributed stochastic neighbour embedding
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HP: A light-weight hybrid algorithm for accurate data partitioning
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Effect of Data Parameters and Seeding on k-Means and k-Medoids
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Software birthmark based theft detection of JavaScript programs using agglomerative clustering and improved frequent subgraph mining
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Consensus clustering on data fragments
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A web usage mining based recommendation model for learning management systems
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Fast image segmentation using region merging with a k-Nearest Neighbor graph
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Fast k-Means Based on k-NN Graph
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DBSVEC: Density-Based Clustering Using Support Vector Expansion
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Clustering Ensemble and Application in HST Dataset
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cSmartML-Glassbox: Increasing Transparency and Controllability in Automated Clustering
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TPE-AutoClust: A Tree-based Pipline Ensemble Framework for Automated Clustering
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An Energy-Efficient K-means Clustering FPGA Accelerator via Most-Significant Digit First Arithmetic
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K-means: Clustering by Gradual Data Transformation
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A two-phase hybrid codebook generation technique for vector quantization
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Automatically Selecting Cluster Centers in Clustering by Fast Search and Find of Density Peaks with Data Field
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Signal Recognition Method of X-ray Pulsar Based on Instantaneous Amplitude Feature
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Comparison single thresholding method for handwritten images segmentation
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Fuzzy Clustering by Fast Search and Find of Density Peaks
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Reliable Agglomerative Clustering
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New optimized agglomerative clustering algorithm using multilevel threshold for finding optimum number of clusters on large data set
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$k$-Means-Lite++: The Combined Advantage of Sampling and Seeding
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Learning the $k$ in $k$-means via the Camp-Meidell Inequality
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Consecutive and Similarity Information Fused Graph Learning Using Semi-Nonnegative Matrix Factorization for Sequential Data Clustering
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Unsupervised Pre-Training for 3D Leaf Instance Segmentation
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Performance evaluation of sampling-based large-scale clustering algorithms
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LSPT-D: Local Similarity Preserved Transport for Direct Industrial Data Imputation
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Clustered Adaptive Graph Priors Network for Few-Shot Image Denoising
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Clustering by Local Gravitation
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Elastic Differential Evolution for Automatic Data Clustering
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SCA2: Novel Efficient Swarm Clustering Algorithm
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A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data
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Viewpoint-Based Kernel Fuzzy Clustering With Weight Information Granules
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BPEC: Belief-Peaks Evidential Clustering
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Fuzzy Overlapping Modularity Clustering for Symmetric-Tensor Based Graph
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MEDNet: Multiexpert Detection Network With Unsupervised Clustering of Training Samples
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PointCluster: Deep Clustering of 3-D Point Clouds With Semantic Pseudo-Labeling
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ME R-CNN: Multi-Expert R-CNN for Object Detection
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SPICE: Semantic Pseudo-Labeling for Image Clustering
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Automatic Clustering via Outward Statistical Testing on Density Metrics
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CRAFTER: A Tree-Ensemble Clustering Algorithm for Static Datasets with Mixed Attributes and High Dimensionality
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