PKG-INFO

Metadata-Version: 2.1
Name: lshkcenters
Version: 1.0.3
Summary: A python package for LSH-k-Centers algorithm
Home-page: https://github.com/
Author: toanstt
Author-email: toan_stt@yahoo.com
License: UNKNOWN
Description: Python implementations of the LSH-k-Centers algorithms for clustering categorical data:
        
        ## Installation:
        ### Using pip: 
        ```shell
        pip install lshkcenters
        ```
        
        ### Import the packages:
        ```shell
        import numpy as np
        from LSHkCenters.LSHkCenters import LSHkCenters
        ```
        ### Generate a simple categorical dataset:
        
        ```shell
        X = np.array([[0,0,0],[0,1,1],[0,0,0],[1,0,1],[2,2,2],[2,3,2],[2,3,2]])
        y = np.array([0,0,0,0,1,1,1])
        ```
        
        ### LSH-k-Centers: 
        
        ```shell
        kcens = LSHkCenters(X,y,n_init=5,k=2)
        kcens.SetupLSH()
        kcens.DoCluster()
        
        ```
        
        ### Built-in evaluattion metrics:
        ```shell
        kcens.CalcScore()
        ```
        
        ### Out come:
        ```shell
        Purity: 1.000 NMI: 1.00 ARI: 1.00 Sil:  -1.00 Acc: 1.00 Recall: 1.00 Precision: 1.00
        ```
        
        ### Built-in fuzzy evaluattion metrics:
        ```shell
        kcens.CalcFuzzyScore()
        ```
        
        ### Out come:
        ```shell
        Fuzzy scores PC:1.00 NPC:1.00 FHV↓:0.02 FS↓:-2000.00 XB↓:0.11 BH↓:0.06 BWS:-2000.00 FPC:3.50 SIL_R:0.70 FSIL:0.70 MPO:12.15 NPE:0.01 PE:0.01 PEB:0.01
        ```
        
        
        ## References:
        *To be updated*
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown