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Cluster Analysis
Group records, find similarities, and predict values using ML algorithms
- Business Need
- Analytics
Cluster Analysis app will group your data from any standard or custom object into clusters, find similar records, and predict field values using machine learning algorithms. It can be used for customer segmentation, classification, data mining, etc

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Compatibility
- Salesforce Editions
- ProfessionalEnterpriseUnlimitedDeveloper
App Details
- Version
- Cluster Analysis/v2.3.1 2.3.1
- Listed On
- 07/13/2020
- Latest Release
- 01/09/2023
- Supported FeaturesNative AppBuilt exclusively on the Salesforce Platform, ensuring reliability and performance.No LimitsThis product's apps, tabs, and objects don't count against your Salesforce org limits. Learn More in HelpLightning ReadyOptimized for Salesforce orgs that use Lightning Ready.Managed PackageThis product is installed in your Salesforce org as a managed package and receives automatic upgrades.
- Native AppNo LimitsLightning ReadyManaged Package
- Package ContentsIf this app is a managed package, the custom apps, tabs, and objects that it contains don't count against your Salesforce allocations. If this app is not a managed package, allocations apply. Learn More in Help
- Custom Objects: 8Custom Tabs: 2Custom Apps: 2
- Lightning Components
- Global: 14App Builder: 0Community Builder: 0
- Languages
- English
Security
Additional Details
New in v2.0: Predictions and find similarities are available Cluster analysis is a task of grouping similar objects into a number of groups called clusters. It is widely used in market research, medicine, biology, finance, computer science, and more. Cluster Analysis app will help you to classify your data from any standard or custom object, analyze groups and similarities, and recognize patterns. It uses unsupervised machine learning algorithms, such as K-Means and K-Medoids, to group the records into clusters. These algorithms don't require any training datasets. With the Cluster Analysis app you can find similar records and predict field values based on configured cluster models. Predictions and similar records and calculated using K-Nearest Neighbors ML algorithm and clustering results. Cluster Analysis app will also build an interactive visual map of your data using t-SNE dimensionality reduction technique. The results are stored in a managed custom object so you can easily build a report or export them to a csv file. Optionally cluster numbers can be populated into a source record's custom field. GitHub: https://github.com/SalesforceLabs/ClusterAnalysis
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Salesforce Labs
San Francisco, CA, USA