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"[Solved]How can I apply k-means clustering and bayes classification on same data"
Contributor II
I am new rapidminer
I tried doing k-means clustering and bayes classification separately it works fine
but k-means takes numeric values and Bayes gives standard deviation for numeric values(I want prediction output)
Can anyone please help me in combining these two processes
Sample Data(1100 rows)
FID Geology Geomorphology Land use_land cover Rainfall SLOPE Soil zone
0 Fissile hornblende biotite gneiss HIGHLY DISSECTED DIFLECTION SLOPE FOREST 1200-1400 >60% BROWN CLAY High
1 Fissile hornblende biotite gneiss HIGHLY DISSECTED DIFLECTION SLOPE FOREST 1200-1400 30-60% BROWN CLAY Moderate
I tried doing k-means clustering and bayes classification separately it works fine
but k-means takes numeric values and Bayes gives standard deviation for numeric values(I want prediction output)
Can anyone please help me in combining these two processes
Sample Data(1100 rows)
FID Geology Geomorphology Land use_land cover Rainfall SLOPE Soil zone
0 Fissile hornblende biotite gneiss HIGHLY DISSECTED DIFLECTION SLOPE FOREST 1200-1400 >60% BROWN CLAY High
1 Fissile hornblende biotite gneiss HIGHLY DISSECTED DIFLECTION SLOPE FOREST 1200-1400 30-60% BROWN CLAY Moderate
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