دانلود کتاب Graph Classification and Clustering Based on Vector Space Embedding (Series in Machine Perception and Artificial Intelligence)

Name: Graph Classification and Clustering Based on Vector Space Embedding (Series in Machine Perception and Artificial Intelligence)
Availability: InStock
Author: Kaspar Riesen
ISBN: 9814304719, 9789814304719

by Kaspar Riesen, Horst Bunke

عنوان فارسی: نمودار طبقه بندی و خوشه بندی بر اساس بردار کدهای جاسازی (سری در ادراک ماشین آلات و هوش مصنوعی)
ناشر: World Scientific Publishing Company
سال: 2010
زبان: انگلیسی
تعداد صفحه (نسخه چاپی - نسخه الکترونیکی): 346-346
شابک: 9814304719, 9789814304719
نوع فایل: PDF دانلود نرم افزار مطالعه
حجم: 11.00 مگابایت

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جزییات کتاب

This book is concerned with a fundamentally novel approach to graph-based pattern recognition based on vector space embedding of graphs. It aims at condensing the high representational power of graphs into a computationally efficient and mathematically convenient feature vector. This volume utilizes the dissimilarity space representation originally proposed by Duin and Pekalska to embed graphs in real vector spaces. Such an embedding gives one access to all algorithms developed in the past for feature vectors, which has been the predominant representation formalism in pattern recognition and related areas for a long time.