Data Classification via Network Method
碩士 === 國立高雄大學 === 統計學研究所博士班 === 104 === The results of classification of traditional data are frequently limited to the choice of the distance. We provide a new concept of converting the traditional data into a network, and then using the network clustering technology to obtain the result of classif...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2016
|
Online Access: | http://ndltd.ncl.edu.tw/handle/15835881768020796471 |
id |
ndltd-TW-104NUK05337002 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-104NUK053370022017-09-17T04:24:05Z http://ndltd.ncl.edu.tw/handle/15835881768020796471 Data Classification via Network Method 透過網絡進行傳統資料分群 Yu-hua Huang 黃俞華 碩士 國立高雄大學 統計學研究所博士班 104 The results of classification of traditional data are frequently limited to the choice of the distance. We provide a new concept of converting the traditional data into a network, and then using the network clustering technology to obtain the result of classification. First, we extend information of each data and treat it as a node of the network. Second, use the multivariate two-sample test method to determine whether two nodes have a link between them. Finally, we cluster this network. The empirical results show that our method has a relatively stable clustering effect. Kun-Lin Kuo 郭錕霖 2016 學位論文 ; thesis 33 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立高雄大學 === 統計學研究所博士班 === 104 === The results of classification of traditional data are frequently limited to the choice of the distance. We provide a new concept of converting the traditional data into a network, and then using the network clustering technology to obtain the result of classification. First, we extend information of each data and treat it as a node of the network. Second, use the multivariate two-sample test method to determine whether two nodes have a link between them. Finally, we cluster this network. The empirical results show that our method has a relatively stable clustering effect.
|
author2 |
Kun-Lin Kuo |
author_facet |
Kun-Lin Kuo Yu-hua Huang 黃俞華 |
author |
Yu-hua Huang 黃俞華 |
spellingShingle |
Yu-hua Huang 黃俞華 Data Classification via Network Method |
author_sort |
Yu-hua Huang |
title |
Data Classification via Network Method |
title_short |
Data Classification via Network Method |
title_full |
Data Classification via Network Method |
title_fullStr |
Data Classification via Network Method |
title_full_unstemmed |
Data Classification via Network Method |
title_sort |
data classification via network method |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/15835881768020796471 |
work_keys_str_mv |
AT yuhuahuang dataclassificationvianetworkmethod AT huángyúhuá dataclassificationvianetworkmethod AT yuhuahuang tòuguòwǎngluòjìnxíngchuántǒngzīliàofēnqún AT huángyúhuá tòuguòwǎngluòjìnxíngchuántǒngzīliàofēnqún |
_version_ |
1718537216004718592 |