Partitional Clustering Algorithms

Häftad, Engelska, 2016

1 068 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

This book focuses on partitional clustering algorithms, which are commonly used in engineering and computer scientific applications. The goal of this volume is to summarize the state-of-the-art in partitional clustering. The book includes such topics as center-based clustering, competitive learning clustering and density-based clustering. Each chapter is contributed by a leading expert in the field.

Produktinformation

Utgivningsdatum:2016-09-22
Mått:155 x 235 x 24 mm
Vikt:645 g
Format:Häftad
Språk:Engelska
Antal sidor:415
Förlag:Springer International Publishing AG
ISBN:9783319347981

Utforska kategorier

Elektronik och kommunikationer inom Naturvetenskap och teknik
Systemvetenskap och AI inom Data och IT
Hårdvara inom Data och IT

Mer om författaren

Dr. Emre Celebi is an Associate Professor with the Department of Computer Science, at Louisiana State University in Shreveport.

Recensioner i media

"The content of the book is really outstanding in terms of the clarity of the discourse and the variety of well-selected examples. ... The book brings substantial contributions to the field of partitional clustering from both the theoretical and practical points of view, with the concepts and algorithms presented in a clear and accessible way. It addresses a wide range of readers, including scientists, students, and researchers." (L. State, Computing Reviews, April, 2015)

Innehållsförteckning

Recent developments in model-based clustering with applications.- Accelerating Lloyd’s algorithm for k-means clustering.- Linear, Deterministic, and Order-Invariant Initialization Methods for the K-Means Clustering Algorithm.- Nonsmooth optimization based algorithms in cluster analysis.- Fuzzy Clustering Algorithms and Validity Indices for Distributed Data.- Density Based Clustering: Alternatives to DBSCAN.- Nonnegative matrix factorization for interactive topic modeling and document clustering.- Overview of overlapping partitional clustering methods.- On Semi-Supervised Clustering.- Consensus of Clusterings based on High-order Dissimilarities.- Hubness-Based Clustering of High-Dimensional Data.- Clustering for Monitoring Distributed Data Streams.

Du kanske också är intresserad av

Del 11041

OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis

Danail Stoyanov, Zeike Taylor, Duygu Sarikaya, Jonathan McLeod, Miguel Angel González Ballester, Noel C.F. Codella, Anne Martel, Lena Maier-Hein, Anand Malpani, Marco A. Zenati, Sandrine De Ribaupierre, Luo Xiongbiao, Toby Collins, Tobias Reichl, Klaus Drechsler, Marius Erdt, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, M. Emre Celebi, Kristin Dana, Allan Halpern