Synopsis
This book tackles the crucial question of cluster stability and validity in hierarchical clustering, a widely used technique for identifying patterns and structures in data. The author introduces the notion of bootstrapping to assess the reliability and significance of sample clusters. They propose a novel approach that combines the bootstrap method with the Bk statistic, a measure of agreement between clustering trees. The book demonstrates the efficacy of this approach through a series of simulation studies. It provides a comprehensive framework for evaluating the stability and validity of sample clusters, enabling researchers to make informed decisions about the robustness of their findings. The insights gained from this book are invaluable for researchers and practitioners in fields such as data science, machine learning, and market research, where accurate and reliable clustering is essential.
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Examining the Validity of Sample Clusters, Using the Bootstrap Method
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Paperback. Condition: New. Print on Demand. This book tackles the crucial question of cluster stability and validity in hierarchical clustering, a widely used technique for identifying patterns and structures in data. The author introduces the notion of bootstrapping to assess the reliability and significance of sample clusters. They propose a novel approach that combines the bootstrap method with the Bk statistic, a measure of agreement between clustering trees. The book demonstrates the efficacy of this approach through a series of simulation studies. It provides a comprehensive framework for evaluating the stability and validity of sample clusters, enabling researchers to make informed decisions about the robustness of their findings. The insights gained from this book are invaluable for researchers and practitioners in fields such as data science, machine learning, and market research, where accurate and reliable clustering is essential. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781330266380_0
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Examining the Validity of Sample Clusters, Using the Bootstrap Method Classic Reprint
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781330266380
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Examining the Validity of Sample Clusters, Using the Bootstrap Method Classic Reprint
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781330266380
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