ELKI
A data mining software written in Java, with focus on research in algorithms
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| + | Modularity | Allows for customization and extension of functionalities |
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| + | Algorithms | Provides a wide range of data mining algorithms, including clustering, outlier detection, and similarity search. |
| + | High Performance | Leverages efficient data structures like R*-trees for fast query processing |
| + | Research Focus | Emphasizes research and experimentation, making it a valuable tool for academics and practitioners |
| + | Java-Based | Implemented in Java, making it platform-independent and widely accessible. |
| + | Clustering | Supports hierarchical clustering methods such as agglomerative clustering. Offers density-based clustering algorithms like DBSCAN. |
| + | Specific Data Handling | Supports spatial data processing, time series analysis, and graph algorithms. |
| + | Outlier Detection | Includes outlier detection methods to help users identify anomalies in their data. |
| + | Data Preprocessing & Evaluation | Provides tools for data cleaning, transformation, and evaluation of results. |
...8 more features/limitations. Contact us to get a complete list of features and system requirements.
System Requirements
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Ratings
3.955
| PAT RESEARCH | 7.510 based on professional's opinion |
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| PAT RESEARCH | 8.310 based on 1 reviews |
Written in
Java
Initial Release
2008-07-10