0
在hclust
中,可以指定method = "average"
以在聚類中使用平均鏈接。用於計算兩組點之間平均鏈接距離的函數
我的情況是,我有兩個固定的集羣,我想計算這兩個集羣之間的平均關聯。
在R中有這樣的功能嗎? hclust
似乎使用Fortran代碼來執行此操作。
樣本數據:
structure(list(lon = c(106.0081819, 106.0621591, 106.0787142,
105.9581624, 105.9982149, 105.9455287, 106.0726373, 106.12575,
106.1110501, 106.060344, 106.0635147, 105.9575665, 105.9494248,
106.0475363, 105.9564829, 105.9964291, 106.1037006, 105.9964291,
106.1639749, 106.1110501), lat = c(21.1400879, 21.1766814, 21.1738006,
21.202957, 21.1244525, 21.1101074, 21.1861204, 21.163438, 21.121444,
21.169068, 21.1815923, 21.1085185, 21.0994022, 21.1688445, 21.1158848,
21.1122605, 21.1988765, 21.1122605, 21.0178933, 21.121444), group = c("domestic",
"foreign", "domestic", "domestic", "foreign", "domestic", "domestic",
"foreign", "domestic", "domestic", "domestic", "domestic", "domestic",
"domestic", "foreign", "domestic", "domestic", "foreign", "domestic",
"domestic")), .Names = c("lon", "lat", "group"), class = c("tbl_df",
"data.frame"), row.names = c(NA, -20L))
我想出了同樣的解決方案,儘管'as.matrix(d)[which(df $ group ==「domestic」),which(df $ group ==「foreign」)]''代替。這和'expand.grid'一樣嗎? – Heisenberg
應該是。有時我覺得太複雜了。 - > – lukeA