An Algebraic Approach to Clustering and Classification with Support Vector Machines

[ X ]

Tarih

2022

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Mdpi

Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

In this note, we propose a novel classification approach by introducing a new clustering method, which is used as an intermediate step to discover the structure of a data set. The proposed clustering algorithm uses similarities and the concept of a clique to obtain clusters, which can be used with different strategies for classification. This approach also reduces the size of the training data set. In this study, we apply support vector machines (SVMs) after obtaining clusters with the proposed clustering algorithm. The proposed clustering algorithm is applied with different strategies for applying SVMs. The results for several real data sets show that the performance is comparable with the standard SVM while reducing the size of the training data set and also the number of support vectors.

Açıklama

Anahtar Kelimeler

clique; algebraic statistics; machine learning; clustering; classification; support vector machine

Kaynak

Mathematics

WoS Q Değeri

Q1

Scopus Q Değeri

Cilt

10

Sayı

1

Künye