Density Level Set Estimation on Manifolds with DBSCAN
Authors: Heinrich Jiang
ICML 2017 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | The goal of this work is to give a theoretical analysis of the procedure and to the best of our knowledge, provide the first analysis of density levelset estimation on manifolds. |
| Researcher Affiliation | Industry | 1Google. Correspondence to: Heinrich Jiang <heinrich.jiang@gmail.com>. |
| Pseudocode | Yes | Algorithm 1 DBSCAN False CC Removal |
| Open Source Code | No | The paper discusses DBSCAN, an existing procedure, and its theoretical analysis but does not provide concrete access to source code developed by the authors for the methodology described. |
| Open Datasets | No | This is a theoretical paper focused on analysis and proofs, not empirical evaluation. It does not mention any dataset used for training. |
| Dataset Splits | No | This is a theoretical paper focused on analysis and proofs, not empirical evaluation. It does not mention any dataset used for validation. |
| Hardware Specification | No | This is a theoretical paper and does not mention any specific hardware used for experiments. |
| Software Dependencies | No | This is a theoretical paper and does not specify any software dependencies with version numbers for replication. |
| Experiment Setup | No | This is a theoretical paper and does not provide specific experimental setup details such as hyperparameters or training configurations. |