Closed ancara-art closed 3 years ago
We need to research one or two more algorithms as HDBSCAN seems to give different cluster output not really clustering all the children, (it may leave points without cluster if they are found to be out of the core area?) We could use other algorithms that could be: spectral clustering, agglomeration clustering, and ward hierarchical clustering. (https://scikit-learn.org/stable/modules/clustering.html)
We decided to implement: spectral clustering, agglomeration clustering, and ward hierarchical clustering. (https://scikit-learn.org/stable/modules/clustering.html)
Some initial links: https://towardsdatascience.com/using-scikit-learns-binary-trees-to-efficiently-find-latitude-and-longitude-neighbors-909979bd929b
We used: K-means Hdbscan We need to research for one or two more algorithms as HDBSCAN seems to not be properly for our project idea. Those two algorithms could be: spectral clusterin, agglomeration clustering, and ward hierarchical clustering. (https://scikit-learn.org/stable/modules/clustering.html)