Clustering Stock Prices of Financial Sector Using K-Means Clustering With Dynamic Time Warping-Reference-Cited by-同舟云学术

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Clustering Stock Prices of Financial Sector Using K-Means Clustering With Dynamic Time Warping

Published:2022-12-13 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)
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Author:

Aqsari Hasri Wiji¹,Prastyo Dedy Dwi¹,Puteri Rahayu Santi¹

Affiliation:

1. Institut Teknologi Sepuluh Nopember,Faculty of Science and Data Analytics,Department of Statistics,Surabaya,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10057587/10057600/10057714.pdf?arnumber=10057714

Reference13 articles.

1. Dynamic programming algorithm optimization for spoken word recognition

2. 2018. The approach of fuzzy C-means cluster and factor analysis on economic potential mapping of regency/city in East Java Province;rahayu;AIP Conference Proceedings,2014

3. Mutual Information-Based Variable Selection on Latent Class Cluster Analysis

4. Multivariate data analysis;hair;New Jersey Pearson,2010

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