Dataset

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Outlier Detection

Fuzzy membership analysis

FCM Parameters

Soft Clustering

Soft clustering with membership degrees

Auto-C (Fuzzy Indices)

Search RangeC: 2 – 10

Uses Xie-Beni index to select optimal C

Auto-Fuzzifier

Fuzzifier (m)2.00

Higher = softer memberships (default: 2.0)

Membership Threshold0.00

No threshold (all assigned)

Initialization

Restarts (n_init)5

Advanced

Preprocessing

Drop Constant Cols

Imputation

Scaling

Normalize

Visualization

2D Projection

Parameter Guide

Click to expand

Performance Metrics

Clusters (C)

—

Run to see results

Xie-Beni Index

—

↓ lower is better

Partition Coefficient

—

↑ higher is better

Fuzzifier (m)

—

Controls fuzziness

Duration

—

Compute Time

Interactive Visualization

Cluster Visualization

Interactive scatter plot with cluster centroids

Run training to render the scatter plot

Advanced Analysis

Deep Dive Analysis

Advanced metrics and interpretation tools

Recent Jobs

Job History

Recent jobs — auto-pruned to keep 10 per type

No jobs recorded yet. Run a clustering, classification, or pipeline job to see results here.

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