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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 1061–1070 of 10718 papers

Title	Date	Tasks	Status	Score
Accelerated High-Quality Mutual-Information Based Word Clustering	May 1, 2020	ClusteringVocal Bursts Intensity Prediction	CodeCode Available	5
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions	Jul 1, 2018	Clustering	CodeCode Available	5
A New Spectral Clustering Algorithm	Oct 7, 2017	Clustering	CodeCode Available	5
A Fast Palette Reordering Technique Based on GPU-Optimized Genetic Algorithms	Sep 8, 2018	ClusteringGPU	CodeCode Available	5
Leveraging tensor kernels to reduce objective function mismatch in deep clustering	Jan 20, 2020	ClusteringDeep Clustering	CodeCode Available	5
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions	Jun 24, 2018	Clustering	CodeCode Available	5
Deep generative models in DataSHIELD	Mar 11, 2020	Clustering	CodeCode Available	5
Deep Fair Discriminative Clustering	May 28, 2021	ClusteringDeep Clustering	CodeCode Available	5
A Convolutional Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction	Dec 1, 2020	ClusteringDimensionality Reduction	CodeCode Available	5
Deep Feature Selection using a Teacher-Student Network	Mar 17, 2019	ClusteringDimensionality Reduction	CodeCode Available	5

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