Hybrid Algorithm for Inductive Cluster Analysis Using Density Distribution Data Evaluation
Journal Title: Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì - Year 2015, Vol 832, Issue
Abstract
In this article proposed a new clustering technique, which is based on two methods: density algorithm DBSCAN and inductive objective clustering algorithm. Experimentally proved that the combination of two these methods can solve the problem of recognition of clusters of different nonlinear form, and greatly increase the accuracy in the detection of complex objects.
Authors and Affiliations
Lurie Irina, Osipenko Volodymyr, Volodymyr Lytvynenko, Taif Muchamed Ali, Natalia Kornilovska
Sequential kernel fuzzy clustering of big data based on computational intelligence hybrid system
The architecture and self-learning method of hybrid neuro-fuzzy systems for big fuzzy clustering in on-line mode are proposed in this paper. The architecture of proposed system represents the hybrid of the fuzzy general...
Computer network traffic analysis based on experimental data of wireshark
This article analyzes the changes in traffic networks, obtained via Wireshark network protocol analyzer. Observations have been conducted by the following parameters: the total number of packets, the average number of pa...
The methods of context processing in intelligent systems
Context-based methods represent an important part of toolkit used to build intelligent systems. In the article existent definitions of context for a system with a single decision making agent were discussed. Available fo...
Method for German verbs automated lemmatization
Mathware, algorithmic support and software for problem solution of automated lemmatization of German verbs with separated prefixes are represented in the article.
Statistics of words occurrences in natural and random texts
We study experimentally statistical distributions that describe the appearance of words in a number of natural texts, as well as in the random texts derived on their basis. It is shown that the probability mass function...