Application of Cluster Analysis and Unsupervised Learning to Multivariate Tissue Characterization
作者:
REZA,
MOMENAN MICHAEL,
INSANA ROBERT,
WAGNER BRIAN,
GARRA MURRAY,
期刊:
Journal of Clinical Engineering
(OVID Available online 1988)
卷期:
Volume 13,
issue 6
页码: 455-463
ISSN:0363-8855
年代: 1988
出版商: OVID
关键词: Cluster Similarity Measure, Tissue Analysis;Clusters, Tissue Characterization;Hotelling Trace;ISODATA;K-Means;KSODATA;Tissue Characterization, Ultrasound;Ultrasound, Tissue Analysis;Unsupervised Classifier, Tissue Types
数据来源: OVID
摘要:
This paper describes procedures for classifying tissue types from unlabeled acoustic measurements (data type unknown) using unsupervised cluster analysis. These techniques are being applied to unsupervised ultrasonic image segmentation and tissue characterization. The performance of a new clustering technique is measured and compared with supervised methods, such as a linear Bayes classifier. In these comparisons, two objectives are sought: a) How well does the clustering method group the data? b) Do the clusters correspond to known tissue classes? The first question is investigated by a measure of cluster similarity and dispersion. The second question involves a comparison with a supervised technique using labeled data.
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