Time Series Symbolization Method for the Data Mining K-Means Algorithm
Time series is a data type frequently encountered in data analysis. With the current depth and breadth of the data and the improvement in computer processing capabilities, the dimensionality and the complexity of time series are getting higher and higher. Time series symbolization is to cluster and...
Saved in:
Main Author: | Guisheng Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2023/5365673 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Retracted: Time Series Symbolization Method for the Data Mining K-Means Algorithm
by: Discrete Dynamics in Nature and Society
Published: (2024-01-01) -
A Symbolic Algorithm for Checking the Identifiability of a Time-Series Model
by: Guy Mélard
Published: (2024-12-01) -
An improved K‐means algorithm for big data
by: Fatemeh Moodi, et al.
Published: (2022-02-01) -
Improved K-Means Algorithm for Nearby Target Localization
by: Zongwen Yuan, et al.
Published: (2025-01-01) -
Clustering by Hybrid K-Means-Based Rider Sunflower Optimization Algorithm for Medical Data
by: A. Jaya Mabel Rani, et al.
Published: (2022-01-01)