Ditemukan 1 dokumen yang sesuai dengan query
Wu, Junjie
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This book addresses these challenges and makes novel contributions in establishing theoretical frameworks for K-means distances and K-means based consensus clustering, identifying the "dangerous" uniform effect and zero-value dilemma of K-means, adapting right measures for cluster validity, and integrating K-means with SVMs for rare class analysis. This book not only enriches the clustering and optimization theories, but also provides good guidance for the practical use of K-means, especially for important tasks such as network intrusion ...
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Berlin: Springer-Verlag, 2012
e204063793
eBooks Universitas Indonesia Library
