Amanote Research

Amanote Research

    RegisterSign In

A New Anticorrelation-Based Spectral Clustering Formulation

Lecture Notes in Computer Science - Germany
doi 10.1007/978-3-642-23687-7_13
Full Text
Open PDF
Abstract

Available in full text

Categories
Computer ScienceTheoretical Computer Science
Date

January 1, 2011

Authors
Julia DietlmeierOvidiu GhitaPaul F. Whelan
Publisher

Springer Berlin Heidelberg


Related search

How to Round Subspaces: A New Spectral Clustering Algorithm

2015English

Motion Recognition Based on Manifold Learning Spectral Clustering

International Journal of Multimedia and Ubiquitous Engineering
Computer Science
2014English

Active Spectral Clustering

2010English

Brain Tumour Detection Using Super Pixel Based Spectral Clustering

INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH
2019English

Multiclass Spectral Clustering

2003English

A New Model for Strategy Formulation Using Mahalanobis-Taguchi System and Clustering Algorithm

Intelligent Information Management
2011English

A Spectral Clustering Based Filter-Level Pruning Method for Convolutional Neural Networks

IEICE Transactions on Information and Systems
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
2019English

A New Text Clustering Method Based on KGA

Journal of Software
2012English

Semi-Supervised Spectral Clustering

2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy