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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 10101–10125 of 10718 papers

TitleStatusHype
A Mathematical Theory of Learning—0
Representative Selection for Big Data via Sparse Graph and Geodesic Grassmann Manifold Distance—0
Latent semantics of action verbs reflect phonetic parameters of intensity and emotional content—0
Combining Multiple Clusterings via Crowd Agreement Estimation and Multi-Granularity Link Analysis—0
Co-clustering of bilingual datasets as a mean for assisting the construction of thematic bilingual comparable corpora—0
Finding a Tradeoff between Accuracy and Rater's Workload in Grading Clustered Short Answers—0
Ranking Job Offers for Candidates: learning hidden knowledge from Big Data—0
DBpedia Domains: augmenting DBpedia with domain information—0
Crowd-sourcing evaluation of automatically acquired, morphologically related word groupings—0
Investigating the Image of Entities in Social Media: Dataset Design and First Results—0
Construction of Diachronic Ontologies from People's Daily of Fifty Years—0
Constituency Parsing of Bulgarian: Word- vs Class-based Parsing—0
T-PAS; A resource of Typed Predicate Argument Structures for linguistic analysis and semantic processing—0
Use of unsupervised word classes for entity recognition: Application to the detection of disorders in clinical reports—0
Clustering tweets usingWikipedia concepts—0
Clustering of Multi-Word Named Entity variants: Multilingual Evaluation—0
Semantic Clustering of Pivot Paraphrases—0
Polish Coreference Corpus in Numbers—0
On the Romance Languages Mutual Intelligibility—0
DerivBase.hr: A High-Coverage Derivational Morphology Resource for Croatian—0
VSCAN: An Enhanced Video Summarization using Density-based Spatial Clustering—0
Phase transitions in semisupervised clustering of sparse networks—0
Gabor Filter and Rough Clustering Based Edge Detection—0
A Bi-clustering Framework for Consensus Problems—0
The geometry of kernelized spectral clustering—0
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