M. Emre Celebi 
Partitional Clustering Algorithms [PDF ebook] 

الدعم

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.

€96.29
طرق الدفع

قائمة المحتويات

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.

عن المؤلف

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

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لغة الإنجليزية ● شكل PDF ● صفحات 415 ● ISBN 9783319092591 ● حجم الملف 8.5 MB ● محرر M. Emre Celebi ● الناشر Springer International Publishing ● مدينة Cham ● بلد CH ● نشرت 2014 ● للتحميل 24 الشهور ● دقة EUR ● هوية شخصية 3534480 ● حماية النسخ DRM الاجتماعية

المزيد من الكتب الإلكترونية من نفس المؤلف (المؤلفين) / محرر

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