- Introduction to Clustering
Introduction to Clustering
What is Clustering?
Algorithm in Action
Take a Tour Within Datameer
Practical Lab: Cluster Hunt
- Next Steps
Summary and Next Steps
Provide Feedback & Continue Learning
Smart Analytics: Clustering
Creating multi-dimensional groups is Smart Analytics Clustering tool's specialty. Go beyond what the brain can comprehend and find clusters you never knew were in your data. This course will walk through the information needed to see your data at a higher dimension.
Clustering is the third of four tools within the Smart Analytics toolkit and the fourth course within the Smart Analytics Masterclass. The Clustering tool uses an algorithm to automatically find non-obvious, but related groups within data; to find groupings of records that are similar to each other, but dissimilar to other groups. Sound like a tool you would like to explore? This course will walk through the information needed to use this tool so you can continue on to find the clusters within your own data.
Included in Course Series
Smart Analytics Masterclass
6-Section Masterclass (recommended to take series over 6-weeks)
Estimated Time for Completion
Yes, Smart Analytics Certification
Supplement Materials (Y/N)
Smart Analytics: Foundations
Strongly Suggested Prerequisite(s)
Introduction to Data Analytics Series
Analyst Basics Level 1 (Certification Optional)
- Describe what the Clustering tool does.
- Explain multi-dimensional space in reference to included columns for Clustering.
- Name the mathematics being used to calculate Clusters within Datameer.
- Define what a Centroid is within the Clustering tool.
- Explain what a centroid is and how it relates to the number of clusters formed.
- Describe ways the Clustering tool would add value for a company.
- Name which analysis model Datameer considers Clustering to be.
- List the setting options available within the Clustering wizard.
- Explain the Advanced setting options of the clustering wizard:
- Explain the Number of Iterations setting.
- Explain the Number of Indicator Values setting.
- Explain the Normalize Numerical Columns setting.
- Memorize specific attribute requirements for Indicator Values.
- Explain the Clustering Output Sheet and purpose of the added column.
- Describe how Flipside is different from the wizard infographic/visual preview.
- Inform how to read Clustering results.
Continue Learning with Datameer:
Datameer eLearning is an online learning library built to teach you big data analytics concepts, simplified via the Datameer platform. Clustering is one of four Smart Analytics tools within Datameer. Datameer eLearning covers each of these tools in detail and we recommend the following courses as next steps:
- Smart Analytics: Column Dependencies
- Smart Analytics: Decision Tree
- Smart Analytics: Recommendations
- Smart Analytics Certification Exam
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These Terms & Conditions were last updated at Apirl 4 , 2017.