A framework for dissimilarity-based partitioning clustering of categorical time series

标题
A framework for dissimilarity-based partitioning clustering of categorical time series
作者
关键词
Categorical time series, Dissimilarity-based clustering, <span class=InlineEquation id=IEq2>(k), Estimating number of clusters, Data visualization
出版物
DATA MINING AND KNOWLEDGE DISCOVERY
Volume 29, Issue 2, Pages 466-502
出版商
Springer Nature
发表日期
2014-06-13
DOI
10.1007/s10618-014-0357-y

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started