Spherical k-Means++ Clustering

DOI10.1007/978-3-319-23240-9_9zbMath1365.62236OpenAlexW2294906672MaRDI QIDQ5268447

Yasunori Endo, Sadaaki Miyamoto

Publication date: 20 June 2017

Published in: Modeling Decisions for Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-23240-9_9

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (11)

Approximation Algorithms for Spherical k-Means Problem with Penalties Using Local Search Techniques ⋮ Approximation algorithms for spherical \(k\)-means problem using local search scheme ⋮ The spherical \(k\)-means++ algorithm via local search ⋮ Local search algorithm for the spherical \(k\)-means problem with outliers ⋮ Clustering in Hilbert’s Projective Geometry: The Case Studies of the Probability Simplex and the Elliptope of Correlation Matrices ⋮ The seeding algorithms for spherical \(k\)-means clustering ⋮ The bi-criteria seeding algorithms for two variants of \(k\)-means problem ⋮ The seeding algorithm for spherical \(k\)-means clustering with penalties ⋮ The spherical \(k\)-means++ algorithm via local search scheme ⋮ An approximation algorithm for the spherical \(k\)-means problem with outliers by local search ⋮ Approximation algorithm for spherical \(k\)-means problem with penalty

Cites Work

• Concept decompositions for large sparse text data using clustering
• The elements of statistical learning. Data mining, inference, and prediction
• Unnamed Item
• Unnamed Item

This page was built for publication: Spherical k-Means++ Clustering