SKU/Artículo: AMZ-B0DZJ1V2G1

Text Clustering: Graph based Approaches

Format:

Paperback

Kindle

Paperback

Detalles del producto
Disponibilidad:
En stock
Peso con empaque:
0.36 kg
Devolución:
Condición
Nuevo
Producto de:
Amazon
Viaja desde
USA

Sobre este producto
  • This book is concerned with graph-based machine learning algorithms which are applied to text clustering. The book is authored by collecting slides about the application of graph-based machine learning algorithms to text clustering; each page is given as a slide. This book is intended for people who study applications of graph-based machine learning algorithms to text clustering and is composed of five sections. Text clustering is defined as the process of segmenting a group of texts into subgroups each of which contains content based similar texts. This book covers four graph-based machine learning algorithms, Graph based AHC Algorithm, Graph-based K means algorithm, Graph based Linear Online Clustering Algorithm, and Graph based Divisive Algorithm, as approaches to text clustering.
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