Adaptive Clustering via Symmetric Nonnegative Matrix Factorization of the Similarity Matrix

Adaptive Clustering via Symmetric Nonnegative Matrix Factorization of the Similarity Matrix

The problem of clustering, that is, the partitioning of data into groups of similar objects, is a key step for many data-mining problems. The algorithm we propose for clustering is based on the symmetric nonnegative matrix factorization (SymNMF) of a similarity matrix. The algorithm is first present...

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Bibliographic Details
Main Authors: Paola Favati, Grazia Lotti, Ornella Menchi, Francesco Romani
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Algorithms
Subjects:
clustering
nonnegative matrix factorization
adaptive strategy
Online Access:https://www.mdpi.com/1999-4893/12/10/216

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https://www.mdpi.com/1999-4893/12/10/216

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