Comparison of Two-Stage Clustering Methods: SOM and K-Means Algorithm and Hierarchical Clustering and K-Means Algorithm in Tourist Information Management in Phuket, Thailand
碩士 === 國立澎湖科技大學 === 觀光休閒事業管理研究所 === 103 === Abstract The objectives of this research are (1) to investigate the characteristics and behaviors of tourists who visited Phuket of Thailand and (2) to suggest the efficient approach of analyzing business data that is different in both characteristics and...
Main Authors: | Dabpimsri Worawut, 陳曉君 |
---|---|
Other Authors: | Hung-Bin Chen |
Format: | Others |
Language: | en_US |
Published: |
2015
|
Online Access: | http://ndltd.ncl.edu.tw/handle/javpt5 |
Similar Items
-
CLUSTERING MENGGUNAKAN K-MEANS ALGORITHM
by: Nur Wakhidah
Published: (2010-07-01) -
Unsupervised K-Means Clustering Algorithm
by: Kristina P. Sinaga, et al.
Published: (2020-01-01) -
An Improved Speech Segmentation and Clustering Algorithm Based on SOM and K-Means
by: Nan Jiang, et al.
Published: (2020-01-01) -
Soil data clustering by using K-means and fuzzy K-means algorithm
by: E. Hot, et al.
Published: (2016-06-01) -
Divisive K-Means Clustering Algorithm for Determining k and Positions of Cluster Centers
by: Lin, You-Shin, et al.
Published: (2009)