HPMug2oMmNrOfxWQHLiEksa6s0hFu9Ox348d7QefarYlaFR5ArkhOwm3Da1pmxmxCtenj1+6luWD#r#n+EPn9L6Ce+9onqnMlT+i ›› 2011, Vol. 27 ›› Issue (1): 13-16.DOI: 10.3969/j.issn.1009-0479.2011.01.004
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Abstract: Ｉｔｉｓａｔｅｎｄｅｎｃｙｔｏｕｓｅｍｏｄｅｒｎｄａｔａｍｉｎｉｎｇｔｅｃｈｎｏｌｏｇｙｔｏａｎａｌｙｚｅａｎｄｈａｎｄｌｅｃｕｓｔｏｍｅｒｓ＇ｉｎｆｏｒ ｍａｔｉｏｎｆｏｒｅｎｔｅｒｐｒｉｓｅｓｔｏｉｍｐｒｏｖｅｔｈｅｉｒｍａｎａｇｅｍｅｎｔ．Ｃｌｕｓｔｅｒｉｎｇｉｓａｎｉｍｐｏｒｔａｎｔｍｅｔｈｏｄｉｎｄａｔａｍｉｎｉｎｇ． Ａｆｔｅｒｉｎｔｒｏｄｕｃｉｎｇｔｈｅｃｏｎｃｅｐｔｏｆｃｌｕｓｔｅｒｉｎｇ，ｔｈｅｐａｐｅｒｄｉｓｃｕｓｓｅｄｓｅｖｅｒａｌｔｙｐｉｃａｌｃｌｕｓｔｅｒｉｎｇａｌｇｏｒｉｔｈｍｓ．Ａｐ ｐｒｏｐｒｉａｔｅｃｌｕｓｔｅｒｉｎｇａｌｇｏｒｉｔｈｍｓｗｅｒｅｕｓｅｄｉｎｃｕｓｔｏｍｅｒｄａｔａａｎａｌｙｓｉｓｉｎＤｕｏ＇ｅｒｈｕｉＳｕｐｅｒｍａｒｋｅｔｔｏｇｅｔｔｈｅ ｂｅｓｔｃｌａｓｓｉｆｉｃａｔｉｏｎｏｆｃｕｓｔｏｍｅｒｓａｎｄｇｕｉｄｅｂｕｓｉｎｅｓｓｄｅｃｉｓｉｏｎｓ．
Key words: ｃｌｕｓｔｅｒｉｎｇ, ｃｕｓｔｏｍｅｒｒｅｌａｔｉｏｎｓｈｉｐｍａｎａｇｅｍｅｎｔ（ＣＰＭ）, ｄａｔａｍｉｎｉｎｇ（ＤＭ）
CLC Number:
Ｏ２１３
WANG Yue, YANG Jiao, TAN Yuan-Rong. ＡｎａｌｙｓｉｓｏｆＣｌｕｓｔｅｒｉｎｇＭｏｄｅｌａｎｄＩｔｓＵｓｅｉｎＣｕｓｔｏｍｅｒＲｅｌａｔｉｏｎｓｈｉｐＭａｎａｇｅｍｅｎｔ[J]. HPMug2oMmNrOfxWQHLiEksa6s0hFu9Ox348d7QefarYlaFR5ArkhOwm3Da1pmxmxCtenj1+6luWD#r#n+EPn9L6Ce+9onqnMlT+i, 2011, 27(1): 13-16.
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URL: http://kmyzxb.magtech.com.cn/EN/10.3969/j.issn.1009-0479.2011.01.004
http://kmyzxb.magtech.com.cn/EN/Y2011/V27/I1/13
