TITLE:
Verification of Clustering Accuracy by Applying Direction-Based Method and Data Conversion
AUTHORS:
Young Rhee
KEYWORDS:
Clustering, Direction Based Method, Data Conversion, Similarity
JOURNAL NAME:
Modern Economy,
Vol.12 No.11,
November
8,
2021
ABSTRACT: In this study, the process of clustering into a
group with similar characteristics is shown through pattern analysis, and the
similarity is examined whether this group
has homogeneity. A direction-based method for clustering the time series
data is introduced, and the grouping process is carried out through the
direction setting by up or down and the logical operations thereafter. The
similarity is verified by comparing the parts within the group after
clustering. For more effective
verification, data conversion, a data homogenization process, is
performed. MAD, MSE, MPSE and TS are reviewed as similarity indicators. For
data such as time series data, MPSE and TS, which are scale-independent
measurements, are recommended.