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Clustering

Clustering is the task of grouping unlabeled data point into disjoint subsets. Each data point is labeled with a single class. The number of classes is not known a priori. The grouping criteria is typically based on the similarity of data points to each other.

Papers

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Showing 7751–7800 of 10718 papers

TitleStatusHype
Comparing heterogeneous visual gestures for measuring the diversity of visual speech signals—0
Finding Frequent Entities in Continuous Data—0
Near-drowning Early Prediction Technique Using Novel Equations (NEPTUNE) for Swimming Pools—0
DIRECT: Deep Discriminative Embedding for Clustering of LIGO Data—0
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation—0
Semi-orthogonal Non-negative Matrix Factorization with an Application in Text Mining—0
The Logistic Network Lasso—0
Russian word sense induction by clustering averaged word embeddingsCode0
Branching embedding: A heuristic dimensionality reduction algorithm based on hierarchical clusteringCode0
Clustering With Pairwise Relationships: A Generative Approach—0
A Rank-Based Similarity Metric for Word Embeddings—0
Using Quantum Mechanics to Cluster Time Series—0
Superconducting Optoelectronic Neurons V: Networks and Scaling—0
Detection of Unknown Anomalies in Streaming Videos with Generative Energy-based Boltzmann Models—0
Spectral clustering algorithms for the detection of clusters in block-cyclic and block-acyclic graphs—0
A Data-Driven Residential Transformer Overloading Risk Assessment Method—0
COBRAS-TS: A new approach to Semi-Supervised Clustering of Time Series—0
L'\'evaluation des repr\'esentations vectorielles de mots en utilisant WordNet (Evaluating word representations using WordNet)—0
Creating dialect sub-corpora by clustering: a case in Japanese for an adaptive method—0
Semi-Supervised Clustering for Short Answer Scoring—0
Acquiring Verb Classes Through Bottom-Up Semantic Verb Clustering—0
From Manuscripts to Archetypes through Iterative Clustering—0
Simple Distances for Trajectories via Landmarks—0
Competitive Training of Mixtures of Independent Deep Generative Models—0
An Investigation on Support Vector Clustering for Big Data in Quantum Paradigm—0
Simultaneous Parameter Learning and Bi-Clustering for Multi-Response Models—0
User-Sensitive Recommendation Ensemble with Clustered Multi-Task Learning—0
On Euclidean k-Means Clustering with α-Center Proximity—0
Leveraging Lexical Substitutes for Unsupervised Word Sense Induction—0
Quantized Compressive K-Means—0
RULLS: Randomized Union of Locally Linear Subspaces for Feature Engineering—0
HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clusteringCode0
A Sparse Coding Multi-Scale Precise-Timing Machine Learning Algorithm for Neuromorphic Event-Based Sensors—0
Segmentation of Scanning Tunneling Microscopy Images Using Variational Methods and Empirical WaveletsCode0
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network EmbeddingCode0
High-Dimensional Estimation, Basis Assets, and the Adaptive Multi-Factor ModelCode0
A Novel Graph Based Clustering Approach to Document Topic Modeling—0
Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding—0
Mutual Information Maximization for Simple and Accurate Part-Of-Speech InductionCode0
Unsupervised Representation Adversarial Learning Network: from Reconstruction to GenerationCode0
Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders—0
Robustness via Deep Low-Rank Representations—0
Image Clustering with Optimization Algorithms and Color SpaceCode0
Model-based clustering of multi-tissue gene expression dataCode0
Unspeech: Unsupervised Speech Context Embeddings—0
Superframes, A Temporal Video Segmentation—0
Temporal Unknown Incremental Clustering (TUIC) Model for Analysis of Traffic Surveillance Videos—0
Semi-Supervised Co-Analysis of 3D Shape Styles from Projected Lines—0
Structure from Recurrent Motion: From Rigidity to Recurrency—0
Efficient Solvers for Sparse Subspace ClusteringCode0
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