毕业设计（论文）外文文献翻译
文献、资料中文题目：聚类分析文献、资料英文题目：clusteri
g文献、资料来源：文献、资料发表（出版）日期：院（部）：专业：自动化班级：姓名：学号：指导教师：翻译日期：20170214
f外文翻译
英文名称：译文名称：
Datami
i
gclusteri
g数据挖掘聚类分析
专
业：
自动化
姓
名：

班级学号：

指导教师：

译文出处：Datami
i
g：Ia
HWitte
EibeFra
k著
fClusteri
g
51INTRODUCTIONClusteri
gissimilartoclassificatio
i
thatdataaregroupedHoweveru
like
classificatio
thegroupsare
otpredefi
edI
steadthegroupi
gisaccomplishedbyfi
di
gsimilaritiesbetwee
dataaccordi
gtocharacteristicsfou
di
theactualdataThegroupsarecalledclustersSomeauthorsviewclusteri
gasaspecialtypeofclassificatio
I
thistexthoweverwefollowamoreco
ve
tio
alviewi
thatthetwoarediffere
tMa
ydefi
itio
sforclustershavebee
proposed
Setoflikeeleme
tsEleme
tsfromdiffere
tclustersare
otalikeThedista
cebetwee
poi
tsi
aclusterislesstha
thedista
cebetwee
apoi
ti
theclustera
da
ypoi
toutsideitAtermsimilartoclusteri
gisdatabasesegme
tatio
whereliketuplerecordi
adatabasearegroupedtogetherThisisdo
etopartitio
orsegme
tthedatabasei
tocompo
e
tsthatthe
givetheuseramorege
eralviewofthedataI
thiscasetextwedo
otdiffere
tiatebetwee
segme
tatio
a
dclusteri
gAsimpleexampleofclusteri
gisfou
di
Example51Thisexampleillustratesthefactthatthatdetermi
i
ghowtodotheclusteri
gis
otstraightforwardAsillustratedi
Figure51agive
setofdatamaybeclusteredo
differe
tattributesHereagroupofhomesi
ageographicareaisshow
Thefirstfloortypeofclusteri
gisbasedo
thelocatio
ofthehomeHomesthataregeographicallyclosetoeachotherareclusteredtogetherI
theseco
dclusteri
ghomesaregroupedbasedo
thesizeofthehouseClusteri
ghasbee
usedi
ma
yapplicatio
domai
si
cludi
gbiologymedici
ea
thropologymarketi
ga
deco
omicsClusteri
gapplicatio
si
cludepla
ta
da
imalclassificatio
diseaseclassificatio
imageprocessi
gpatter
recog
itio
a
ddocume
tretrievalO
eofthefirstdomai
si
whichclusteri
gwasusedwasbiologicaltaxo
omyRece
tusesi
cludeexami
i
gWeblogdatatodetectusagepatter
sWhe
clusteri
gisappliedtoarealworlddatabasema
yi
teresti
gproblemsoccur
Outlierha
dli
gisdifficultHeretheeleme
tsdo
ot
aturallyfalli
toa
yclusterTheyca
beviewedassolitaryclustersHoweverifaclusteri
galgorithmattemptstofi
dlargerclusterstheseoutlierswillbeforcedtobeplacedi
someclusterThisprocessmayresulti
thecreatio

fofpoorclustersbycombi
i
gtwoexisti
gclustr