Replication Data for: Nonlinear Dimensionality Reduction by Unit Ball Embedding (UBE) and its Application to Image Clustering
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'These are the datasets used in the following paper in ICMLA 2016: @Paper title: 'Nonlinear Dimensionality Reduction by Unit Ball Embedding (UBE) and its Application to Image Clustering' @ The datasets are in MATLAB format. All of the datasets are publicly available on the web. For the MNIST dataset, we only used the test set in our experiments' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Dimensionality Reduction, Image Classification, Object Recognition, Handwritten Digit Recognition, Face Recognition"]} <|eot_id|>
 Here is the Description of a dataset. Description:'These are the datasets used in the following paper in ICMLA 2016: @Paper title: 'Nonlinear Dimensionality Reduction by Unit Ball Embedding (UBE) and its Application to Image Clustering' @ The datasets are in MATLAB format. All of the datasets are publicly available on the web. For the MNIST dataset, we only used the test set in our experiments' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
These are the datasets used in the following paper in ICMLA 2016: @Paper title: 'Nonlinear Dimensionality Reduction by Unit Ball Embedding (UBE) and its Application to Image Clustering' @ The datasets are in MATLAB format. All of the datasets are publicly available on the web. For the MNIST dataset, we only used the test set in our experiments
Dimensionality Reduction, Image Classification, Object Recognition, Handwritten Digit Recognition, Face Recognition