HABOS clustering algorithm for categorical data

The clustering algorithm based on sparse feature vector for categorical attributes(CABOSFVC) is an efficient high-dimensional clustering method for categorical data. Sparse feature dissimilarity(SFD) is used to calculate the distance and sparse feature vector is used to achieve data compression. How...

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Bibliographic Details
Published in:工程科学学报
Main Authors: WU Sen, JIANG Dan-dan, WANG Qiang
Format: Article
Language:Chinese
Published: Science Press 2016-07-01
Subjects:
data mining
clustering algorithms
categorical data
attributes
Online Access:http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2016.07.018

Internet

http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2016.07.018

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