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Nearest centroid classifier

Known as: NPC, Nearest prototype classifier, Rocchio Classification 
In machine learning, a nearest centroid classifier or nearest prototype classifier is a classification model that assigns to observations the label… 
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Related topics

Related topics

9 relations
Cluster hypothesisK-means clusteringK-nearest neighbors algorithmLinear discriminant analysis

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Enhancing Differential Evolution With Novel Parameter Control
In this paper, we proposed a novel DE variant named DE-NPC for real parameter single objective optimization. In DE-NPC algorithm… 
2016
2016
Discriminative quadratic feature learning for handwritten Chinese character recognition
Highly Cited
2014
Highly Cited
2014
Net Power Control Based on Linear Matrix Inequality for Proton Exchange Membrane Fuel Cell System
An analysis for net power characterization of a proton exchange membrane fuel cell (PEMFC) system is developed with Ballard 1.2… 
2008
2008
Prototype learning with margin-based conditional log-likelihood loss
The classification performance of nearest prototype classifiers largely relies on the prototype learning algorithms, such as the… 
2007
2007
Margin based Active Learning for LVQ Networks
2005
2005
Optimal Feature Selection for Nearest Centroid Classifiers, With Applications to Gene Expression Microarrays
Nearest centroid classifiers have recently been successfully employed in high-dimensional applications. A necessary step when… 
Highly Cited
2003
Highly Cited
2003
Science–technology flows in Spanish regions: An analysis of scientific citations in patents
Highly Cited
2001
Highly Cited
2001
Nearest prototype classifier designs: An experimental study
We compare eleven methods for finding prototypes upon which to base the nearest prototype classifier. Four methods for prototype… 
Highly Cited
1998
Highly Cited
1998
Nearest prototype classification: clustering, genetic algorithms, or random search?
Three questions related to the nearest prototype classifier (NPC) are addressed: when is it better to construct the prototypes… 
Highly Cited
1977
Highly Cited
1977
Prototype classification and feature selection with fuzzy sets
The fuzzy ISODATA algorithms are used to address two problems: first, the question of feature selection for binary valued data… 
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