Metadata-Version: 2.1
Name: LSH-LINK
Version: 0.1
Summary: Base on Fast agglomerative hierarchical clustering algorithm using Locality-Sensitive Hashing,  we develop algorithm in Python.
Home-page: https://github.com/Brian1357/STA663-Project-LSHLink
Author: Boyang Pan & Nancun Li
Author-email: nancun.li@duke.edu
License: UNKNOWN
Description: # LSHlink_numba_version
        
        Base on Fast agglomerative hierarchical clustering algorithm using Locality-Sensitive Hashing,  we develop algorithm in Python.
        
        
        
        ## install method
        
        ```
        pip3 install LSHlink-ffghcv
        ```
        
        
        
        ## example
        
        ```python
        import LSHlink as LSH
        import sklearn
        import numpy as np
        
        X = [[i] for i in [2, 8, 0, 4, 1, 9, 9, 0]]
        X = np.array(X)
        test = LSH.HASH_FUNS(X)
        test.set_parameters(4,10,2,11)
        test.fit_data()
        
        test2.plot_dendrogram()
        ```
        
        
        
        
        ## important functions
        
        ```
        set_parameters()
        fit_data()
        plot_raw_data()
        plot_cluster()
        plot_dendrogram()
        ```
        
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
