Metadata-Version: 1.1
Name: krms
Version: 0.0.2
Summary: K-RMS unsupervised clustering algorithm.
Home-page: https://github.com/garain/krms
Author: Avishek Garain
Author-email: avishekgarain@gmail.com
License: MIT
Description: # krms
        -----------
        
        A simple python library for implementing the K-RMS Clustering algorithm on
        unlabelled data using unsupervised learning. 
        
        
        The code is Python 2 and 3 compatible.
        
        # Installation
        --------------
        
        Fast install:
        -------------
        
        ::
        
                pip install krms
        
        For a manual install get this package:
        --------------------------------------
        
        .. code:: bash
        
                $wget https://github.com/garain/krms/archive/master.zip
                $unzip master.zip
                $rm master.zip
                $cd krms-master
        
        Install the package:
        --------------------
        
        ::
        
                python setup.py install    
        
        # Example
        ---------
        
        .. code:: python
        
                from krms import krms_clustering
                
                #For results related to Iris dataset no need to pass any argument.
                krms_clustering.run()
        		
                #For getting results from custom dataset pass path of csv file as argument in function 'run'. 
                krms_clustering.run("data.csv")
        		
        
        N.B.: The csv file should have the labels in first column with header name 'type' followed by rest of feature columns.
        
        # References
        ---------------
        
        :: 
                
        		@article{GARAIN2020113,
                        title = "K-RMS Algorithm",
        				journal = "Procedia Computer Science",
        				volume = "167",
        				pages = "113 - 120",
        				year = "2020",
        				note = "International Conference on Computational Intelligence and Data Science",
        				issn = "1877-0509",
        				doi = "https://doi.org/10.1016/j.procs.2020.03.188",
        				url = "http://www.sciencedirect.com/science/article/pii/S1877050920306530",
        				author = "Avishek Garain and Dipankar Das",
        				keywords = "clustering, distortion-error, rms-value, multi-component analysis, unsupervised-learning"
        				}
Keywords: clustering visualize semisupervised
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Internet
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
