An implementation of the Random Cut Forest data structure for sketching streaming data, with support for anomaly detection, density estimation, imputation, and more.
The samples sampled by RCF are are stored in the point store since V2.0. Now that summarization is available, it may be helpful to explore the contents of the point store using the summarization. Since RCFs are dynamic sketches of data (https://opensearch.org/blog/odfe-updates/2019/11/random-cut-forests/) an additional consequence of point store summarization would be a dynamic clustering primitive.
sudiptoguha
commented
1 year ago
The samples sampled by RCF are are stored in the point store since V2.0. Now that summarization is available, it may be helpful to explore the contents of the point store using the summarization. Since RCFs are dynamic sketches of data (https://opensearch.org/blog/odfe-updates/2019/11/random-cut-forests/) an additional consequence of point store summarization would be a dynamic clustering primitive.