Open access peer-reviewed Edited Volume

Data Clustering

Book metrics overview

1,348 Chapter Downloads

View Full Metrics

Academic Editor

Niansheng Tang
Niansheng Tang

Yunnan University,
China

Series Editor

Andries Engelbrecht
Andries Engelbrecht

Stellenbosch University,
South Africa

Published17 August 2022

Doi10.5772/intechopen.95124

ISBN978-1-83969-888-0

Print ISBN978-1-83969-887-3

eBook (PDF) ISBN978-1-83969-889-7

Copyright year2022

Number of pages126

Part of the book seriesArtificial Intelligence

Issn2633-1403

Read more
Order Print Copy

Edited Volume and chapters are indexed in

  • Google Scholar
  • DOAB
  • Crossref
  • Dimension
  • OpenAIRE
  • AZ ebsco
  • Worldcat
Show more

Table of Contents

Open access  chapters

2. Clustering Algorithms: An Exploratory Review

By R.S.M. Lakshmi Patibandla and Veeranjaneyulu N

339
3. Clustering by Similarity of Brazilian Legal Documents Using Natural Language Processing Approaches

By Raphael Souza de Oliveira and Erick Giovani Sperandio Nascimento

415
2
5. Application of Jump Diffusion Models in Insurance Claim Estimation

By Leonard Mushunje, Chiedza Elvina Mashiri, Edina Chandiwana and Maxwell Mashasha

119
144
7. Semantic Map: Bringing Together Groups and Discourses

By Theodore Chadjipadelis and Georgia Panagiotidou

124
1

IMPACT OF THIS BOOK AND ITS CHAPTERS

1,348 Total Chapter Downloads

11 Crossref Citations

12 Dimensions Citations

8 Altmetric Score

Order a print copy of this book

Hardcover | Printed Full Colour

£119 (ex. VAT)*

Hardcover | Printed Full Colour

IntechOpen Author/Editor? Get your Discount

FREE SHIPPING WORLDWIDE

Order & Delivery info

* Residents of European Union countries need to add a Book Value-Added Tax Rate based on their country of residence. Institutions and companies, registered as VAT taxable entities in their own EU member state, will not pay VAT by providing IntechOpen with their VAT registration number. This is made possible by the EU reverse charge method.

Instructor? Request an Exam Copy