1. Lumada Analytics Example Machine Learning Solutions Anomaly Detection KMeans Solution

2. Anomaly Detection KMeans
Anomaly Detection using KMeans
Model Training using KMeans methods
Cluster Assignment to determine anomalies data
Scaling R Stages to apply models

3. Anomaly Detection KMeans Composition

4. Model Training Workflow
KMeans Training Workflow Batching Data
Pipeline
Python
Training Model
Training
Data
Models
f(x)
Data Lake
(Solr)
File Storage
Service

5. Applying Model Workflow
Cluster Assignment Workflow Streaming Data
Pipeline
CONNECTOR
AMQP R
Apply Model
AMQP Output
Stage
RabbitMQ
Exchange
f(x) E
Results
Solr
Models
File Storage Service