Clusters Analyzer Algorithm for Informative Acquaintances - Quantum Clustering Algorithm
| Autor: | Rupam Bhagawati |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Information management
Thesaurus (information retrieval) Computer science Semantic analysis (machine learning) Sorting 020206 networking & telecommunications 02 engineering and technology Set (abstract data type) 020204 information systems 0202 electrical engineering electronic engineering information engineering Cluster analysis Quantum information science Algorithm Quantum computer |
| Zdroj: | 2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC). |
| Popis: | In this internet and digitalization age, information in any form is very important to perform a digital task. The processing of any information to obtain the desired results requires a specific medium and sometimes to accomplish various tasks related to that set of information like browsing, searching, sorting, retrieval and management. In order to perform those tasks on the information, which are present on various acquaintances, we need to analyze the information by performing an unsupervised clustering in the realm of quantum computation. Quantum clustering is the core technique used in quantum computation to perform clustering of information with several algorithms that have been introduced and studied till date to analyze the cluster for increasing the efficiency of information exploration, information retrieval, information management and browsing system. Hence, introducing a quantum clustering technique to form clusters which would include sentences from a set of informative data set and the formation of clusters would be carried out by performing Semantic Analysis. |
| Databáze: | OpenAIRE |
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