Enterprise Cluster Solution
1) Upload CSV
Upload
2) Data Types
Review and adjust detected data types per column.
3) Preprocessing
Impute numeric
mean
median
constant
Impute categorical
most_frequent
constant
Fill value
Encoding
onehot
label
none
Scaling
standard
minmax
robust
none
Dim Reduction
none
pca
n_components
Outliers
none
isoforest
contamination
4) Clustering
Algorithm
KMeans
K-Medoids
Agglomerative
BIRCH
DBSCAN
OPTICS
Gaussian Mixture
5) Visualization
Method
PCA
t-SNE
UMAP
Components
6) Run
Run Pipeline
Auto Segment
Results