johnson_s_hierarchical_clustering
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johnson_s_hierarchical_clustering [2016/11/21 08:39] – hkimscil | johnson_s_hierarchical_clustering [2016/11/21 12:15] (current) – [E.g. 1] hkimscil | ||
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{{: | {{: | ||
+ | < | ||
+ | -------------------------------------------------------------------------------- | ||
+ | |||
+ | Method: | ||
+ | Type of Data: | ||
+ | Input dataset: | ||
+ | |||
+ | HIERARCHICAL CLUSTERING | ||
+ | |||
+ | M S | ||
+ | I E S L O N D H E | ||
+ | A A F A S Y C I N | ||
+ | |||
+ | Level 4 6 7 8 1 2 3 5 9 | ||
+ | ----- - - - - - - - - - | ||
+ | 206 . . . . XXX . . . | ||
+ | 233 . . . . XXXXX . . | ||
+ | 379 . . XXX XXXXX . . | ||
+ | 671 . . XXX XXXXXXX . | ||
+ | 808 . XXXXX XXXXXXX . | ||
+ | 996 . XXXXX XXXXXXXXX | ||
+ | | ||
+ | | ||
+ | |||
+ | |||
+ | |||
+ | Measures of cluster adequacy | ||
+ | |||
+ | 1 2 3 4 5 6 7 | ||
+ | | ||
+ | 1 | ||
+ | 2 | ||
+ | 3 Q-prime | ||
+ | 4 | ||
+ | |||
+ | |||
+ | Size of each cluster, expressed as a proportion of the total population clustered | ||
+ | |||
+ | | ||
+ | ----- ----- ----- ----- ----- ----- ----- ----- | ||
+ | 1 CL1 0.222 0.333 0.333 0.111 0.111 0.111 0.111 1.000 | ||
+ | 2 CL2 0.111 0.111 0.111 0.444 0.444 0.333 0.889 | ||
+ | 3 CL3 0.111 0.111 0.111 0.111 0.333 0.556 | ||
+ | 4 CL4 0.111 0.111 0.111 0.222 0.111 | ||
+ | 5 CL5 0.111 0.111 0.222 0.111 | ||
+ | 6 CL6 0.111 0.111 0.111 | ||
+ | 7 CL7 0.111 0.111 | ||
+ | 8 CL8 0.111 | ||
+ | |||
+ | Actor-by-Partition indicator matrix saved as dataset Part | ||
+ | |||
+ | ---------------------------------------- | ||
+ | Running time: 00:00:01 | ||
+ | Output generated: | ||
+ | UCINET 6.614 Copyright (c) 1992-2016 Analytic Technologies | ||
+ | |||
+ | </ | ||
+ | |||
+ | {{hiclus2.gif}} | ||
+ | {{hiclus4.gif}} | ||
+ | |||
+ | ====== E.g. 1 ====== | ||
+ | <code csv cities2.csv> | ||
+ | 206 0 233 1308 802 2815 2934 2786 1771 | ||
+ | 429 233 0 1075 671 2684 2799 2631 1616 | ||
+ | 1504 1308 1075 0 1329 3273 3053 2687 2037 | ||
+ | 963 802 671 1329 0 2013 2142 2054 996 | ||
+ | 2976 2815 2684 3273 2013 0 808 1131 1307 | ||
+ | 3095 2934 2799 3053 2142 808 0 379 1235 | ||
+ | 2979 2786 2631 2687 2054 1131 379 0 1059 | ||
+ | 1949 1771 1616 2037 996 1307 1235 1059 0 | ||
+ | |||
+ | </ | ||
+ | |||
+ | # Prepare Data | ||
+ | setwd(" | ||
+ | mydata <- read.csv(" | ||
+ | mydata <- na.omit(mydata) # listwise deletion of missing | ||
+ | mydata <- scale(mydata) # standardize variables | ||
+ | |||
johnson_s_hierarchical_clustering.1479686999.txt.gz · Last modified: 2016/11/21 08:39 by hkimscil