Andrei Novikov
Andrei Novikov
**Description** Coverity Scan should be introduced for pyclustering library. In line policy, it shouldn't be run every commit therefore there are several variants how to do that:: 1. Nightly cron...
**Introduction** Distinguish UPGMA and WPGMA for Python and C++ parts of the library. **Description** Currently, UPGMA is implemented and called as average linkage. - [ ] Documentation revise; - [...
**Introduction** 'random_state' parameter should be introduced in order to provide control to random seed value that is used during the processing. **Description** - [ ] `random_state` parameter should be passed...
**Introduction** As a tester or developer, I want to have correct answer for Hepta FCPS sample so that I can use it in test scenarios to improve quality of the...
**Introduction** Current python implementation `pyclustering.cluster.clique` is not optimal in case of high dimensional data. See complaint: #634 **Description** Algorithm should work for high-dimensional data. No need to build blocks physically,...
**Introduction** The current problem is following: in case of incorrect input data or due to some other reason (even unexpected) - C++ code throws exception that is not captured by...
**Introduction** STING (a STatistical INformation Grid approach) clustering algorithm. The general idea is to divide spatial aria into rectangular cells at different levels of resolution which forms tree structure. Statistical...
**Introduction** Almost all objects are returned from C++ pyclustering to python pyclustering using `pyclustering_package`. See files `ccore/include/interface/pyclustering_package.hpp` and `ccore/src/interface/pyclustering_package.cpp`. **Description** In order to return error message new type of data...
**Introduction** DBSCAN algorithm should be able to accept distance metric in the same way as K-Means, K-Medians, etc. **Description** - [ ] Introduce new optional argument `metric` (`distance_metric` type) under...
**Introduction** Support custom distance metric for KD-tree in order to provide way to use Euclidean, Square Euclidean, Manhattan, Chebyshev and other metrics. **Description** - [ ] Introduce optional parameter `metric`...