"[Solved]Convert Numeric to Nominal after k-means clustering"
I am a new RapidMiner, I have an excel dataset
I wanted to apply k-means clustering on this dataset and then Bayesian classification on the result of the same
I imported excel(all fields except FID as text) and did Nominal to Numeric to apply kmeans now I want the clusters with original values of data as in input excel (not the numeric data) to apply Bayes classification on same
How can I do Numeric to Nominal conversion on all of fields ?
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 wanted to apply k-means clustering on this dataset and then Bayesian classification on the result of the same
I imported excel(all fields except FID as text) and did Nominal to Numeric to apply kmeans now I want the clusters with original values of data as in input excel (not the numeric data) to apply Bayes classification on same
How can I do Numeric to Nominal conversion on all of fields ?
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