Handbook of Cluster Analysis (Hardcover)

Christian Hennig (Editor), Marina Meila (Editor), Fionn Murtagh (Editor), Roberto Rocci (Editor)

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商品描述

Handbook of Cluster Analysis provides a comprehensive and unified account of the main research developments in cluster analysis. Written by active, distinguished researchers in this area, the book helps readers make informed choices of the most suitable clustering approach for their problem and make better use of existing cluster analysis tools.

The book is organized according to the traditional core approaches to cluster analysis, from the origins to recent developments. After an overview of approaches and a quick journey through the history of cluster analysis, the book focuses on the four major approaches to cluster analysis. These approaches include methods for optimizing an objective function that describes how well data is grouped around centroids, dissimilarity-based methods, mixture models and partitioning models, and clustering methods inspired by nonparametric density estimation. The book also describes additional approaches to cluster analysis, including constrained and semi-supervised clustering, and explores other relevant issues, such as evaluating the quality of a cluster.

This handbook is accessible to readers from various disciplines, reflecting the interdisciplinary nature of cluster analysis. For those already experienced with cluster analysis, the book offers a broad and structured overview. For newcomers to the field, it presents an introduction to key issues. For researchers who are temporarily or marginally involved with cluster analysis problems, the book gives enough algorithmic and practical details to facilitate working knowledge of specific clustering areas.

商品描述(中文翻譯)

《集群分析手冊》提供了對集群分析主要研究發展的全面且統一的介紹。該書由這一領域的活躍且傑出的研究人員撰寫,幫助讀者為他們的問題做出明智的集群方法選擇,並更好地利用現有的集群分析工具。

該書按照傳統的核心集群分析方法進行組織,從起源到最新發展。在概述方法和快速回顧集群分析歷史之後,該書專注於四種主要的集群分析方法。這些方法包括優化描述數據如何圍繞中心點分組的目標函數的方法、基於差異性的方法、混合模型和分割模型,以及受非參數密度估計啟發的集群方法。該書還描述了其他集群分析方法,包括受限制和半監督集群分析,並探討其他相關問題,如評估集群的質量。

該手冊對來自不同學科的讀者都是可理解的,反映了集群分析的跨學科性質。對於已經有集群分析經驗的人來說,該書提供了廣泛且有結構的概述。對於新來者,它介紹了關鍵問題。對於暫時或邊緣參與集群分析問題的研究人員,該書提供了足夠的算法和實踐細節,以便獲得特定集群領域的實際知識。