Open access peer-reviewed Edited Volume

Recent Applications in Data Clustering

Edited by Harun Pirim

Mississippi State University

Clustering has emerged as one of the more fertile fields within data analytics, widely adopted by companies, research institutions, and educational entities as a tool to describe similar/different groups. The book Recent Applications in Data Clustering aims to provide an outlook of recent contributions to the vast clustering literature that offers useful insights within the context of modern applications for professionals, academics, and students. The book spans the domains of clustering in image analysis, lexical analysis of texts, replacement of missing values in data, temporal clustering in smart cities, comparison of artificial neural network variations, graph theoretical approaches, spectral clustering, multiview clustering, and model-based clustering in an R package. Applications of image, text, face recognition, speech (synthetic and simulated), and smart city datasets are presented.

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Recent Applications in Data ClusteringEdited by Harun Pirim

Published: August 1st 2018

DOI: 10.5772/intechopen.71315

ISBN: 978-1-78923-527-2

Print ISBN: 978-1-78923-526-5

eBook (PDF) ISBN: 978-1-83881-560-8

Copyright year: 2018

Books open for chapter submissions

11062 Total Chapter Downloads

16 Crossref Citations

8 Web of Science Citations

22 Dimensions Citations


Open access peer-reviewed

1. Clustering Algorithms for Incomplete Datasets

By Loai AbdAllah and Ilan Shimshoni


Open access peer-reviewed

2. Partitional Clustering

By Uğurhan Kutbay


Open access peer-reviewed

3. Incorporating Local Data and KL Membership Divergence into Hard C-Means Clustering for Fuzzy and Noise-Robust Data Segmentation

By Reda R. Gharieb


Open access peer-reviewed

4. Centroid-Based Lexical Clustering

By Khaled Abdalgader


Open access peer-reviewed

5. Point Cloud Clustering Using Panoramic Layered Range Image

By Masafumi Nakagawa


Open access peer-reviewed

6. CoClust: An R Package for Copula-Based Cluster Analysis

By Francesca Marta Lilja Di Lascio


Open access peer-reviewed

7. Temporal Clustering for Behavior Variation and Anomaly Detection from Data Acquired Through IoT in Smart Cities

By Vladimir Urosevic, Ana Kovacevic, Firas Kaddachi and Milan Vukicevic


Open access peer-reviewed

8. A Class of Parametric Tree-Based Clustering Methods

By Fred Glover and Yang Wang


Open access peer-reviewed

9. Robust Spectral Clustering via Sparse Representation

By Xiaodong Feng


Open access peer-reviewed

10. Performance Assessment of Unsupervised Clustering Algorithms Combined MDL Index

By Hadeel K. Aljobouri, Hussain A. Jaber and Ilyas Çankaya


Open access peer-reviewed

11. New Approaches in Multi-View Clustering

By Fanghua Ye, Zitai Chen, Hui Qian, Rui Li, Chuan Chen and Zibin Zheng


Open access peer-reviewed

12. Collective Solutions on Sets of Stable Clusterings

By Vladimir Vasilevich Ryazanov


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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