Support for Machine Learning Studio (classic) will end on 31 August 2024. We recommend you transition to Azure Machine Learning by that date.
Beginning 1 December 2021, you will not be able to create new Machine Learning Studio (classic) resources. Through 31 August 2024, you can continue to use the existing Machine Learning Studio (classic) resources.
- See information on moving machine learning projects from ML Studio (classic) to Azure Machine Learning.
- Learn more about Azure Machine Learning.
ML Studio (classic) documentation is being retired and may not be updated in the future.
This article describes
ICluster, which is the interface for trained clustering models that is used in Machine Learning Studio (classic).
Applies to: Machine Learning Studio (classic) only
Similar drag-and-drop modules are available in Azure Machine Learning designer.
ICluster interface provides methods and properties that are used to configure and interact with clustering models. A learner is defined as a set of instructions that perform standardized machine learning tasks.
ICluster interface provides the following methods and properties for working with clustering models:
- Gets or sets the feature attributes
- Trains a clustering model from data
- Applies a clustering model to new data
You can interact with
ICluster only in Studio (classic), or in one of the supported APIs.
For classification or regression models, use the iLearner interface.