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Analysis of Clustering technique

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Analysis of Clustering technique


Priyanka Jadhav | Rasika Patil

https://doi.org/10.31142/ijtsrd15616



Priyanka Jadhav | Rasika Patil "Analysis of Clustering technique" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4, June 2018, pp.2422-2424, URL: https://www.ijtsrd.com/papers/ijtsrd15616.pdf

Data mining technique has been considered as useful means for recognize patterns and accumulate of large set of data. This method is basically used to extract the unknown pattern from the large set of data as real time applications. It is an approximate intellect discipline which has appeared valuable tool for data analysis, new knowledge recognition and independent decision making. The speech recognition is also the most important research area to find the speech signal by the computer. To evolve the recognition of the continuous speech signal, a speech segmentation, feature extraction and clustering techniques are used. The unlabelled data from the large dataset can be categorized initially in an unaided fashion by using cluster analysis. The result of the clustering process and efficiency of its application are generally resolved through algorithms. There are various algorithms which are used to solve this problem. In this research paper two important clustering algorithms namely canter points based K-Means and representative object based FCM (Fuzzy C-Means) clustering algorithms are compared. The Hidden morkov model and Gaussian mixture model are the most suitable acoustic models are used to scale the continuous speech signal and recognize the corresponding text data.

Hidden Markov Model (HMM), Gaussian Mixture Model, k means and Fuzzy c means (FCM) clustering.


IJTSRD15616
Volume-2 | Issue-4, June 2018
2422-2424
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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