Titlebook: Unsupervised Classification; Similarity Measures, Sanghamitra Bandyopadhyay,Sriparna Saha Textbook 2013 Springer-Verlag Berlin Heidelberg 2

Arthur

書目名稱Unsupervised Classification影響因子(影響力)




書目名稱Unsupervised Classification影響因子(影響力)學科排名




書目名稱Unsupervised Classification網(wǎng)絡公開度




書目名稱Unsupervised Classification網(wǎng)絡公開度學科排名




書目名稱Unsupervised Classification被引頻次




書目名稱Unsupervised Classification被引頻次學科排名




書目名稱Unsupervised Classification年度引用




書目名稱Unsupervised Classification年度引用學科排名




書目名稱Unsupervised Classification讀者反饋




書目名稱Unsupervised Classification讀者反饋學科排名

四溢

Sanghamitra Bandyopadhyay,Sriparna Saha modern historical geography of China. His collected papers and speeches, spanning from the 1940s to the 1990s, serve as a window into Hou’s academic experience as well as the development of the historical geography of China during the second half of the 20th century..?.Dr. Hou has made his greatest

鴿子

NADIR

Sanghamitra Bandyopadhyay,Sriparna Sahao the “Physiopathology of the states of consciousness”, there was a place for a description and analysis of the behavioural and EEG modifications which follow the intracarotid injection of sodium Amytal (the modifications, that is, due to an acute and temporary pharmacological hemispherectomy). The

動作謎

accrete

perjury

miracle

Point Symmetry-Based Distance Measures and Their Applications to Clustering,f clusters, irrespective of their geometrical shape and overlapping nature, as long as they possess the characteristic of symmetry. GAPS is compared with some existing symmetry-based clustering techniques for several artificial and real-life data sets.

等待

Symmetry-Based Automatic Clustering,of clusters and the proper partitioning from data sets having clusters with widely varying characteristics, irrespective of their convexity, or overlap or size, as long as they possess the property of symmetry. Thereafter a variable string length genetic point symmetry-based fuzzy clustering techniq

Accommodation

Use of Multiobjective Optimization for Data Clustering,es, namely one based on Euclidean distance, another based on the point symmetry distance, and the third based on a new definition of connectivity between the points, are optimized simultaneously. Concepts of relative neighborhood graph are utilized to compute the connectivity index. Extensive experi