Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Ishwar Baidari"'
Autor:
Ishwar Baidari, Channamma Patil
Publikováno v:
Vietnam Journal of Computer Science, Vol 7, Iss 4, Pp 417-431 (2020)
Clustering is a key method in unsupervised learning with various applications in data mining, pattern recognition and intelligent information processing. However, the number of groups to be formed, usually notated as k is a vital parameter for most o
Externí odkaz:
https://doaj.org/article/9527bb7bf7c3454389ccc693f845c2cf
Autor:
Channamma Patil, Ishwar Baidari
Publikováno v:
Data Science and Engineering, Vol 4, Iss 2, Pp 132-140 (2019)
Abstract This paper proposes a new method called depth difference (DeD), for estimating the optimal number of clusters (k) in a dataset based on data depth. The DeD method estimates the k parameter before actual clustering is constructed. We define t
Externí odkaz:
https://doaj.org/article/092c7dac7a354679bb7ca7bc2553e198
Autor:
Ishwar Baidari, Nagaraj Honnikoll
Publikováno v:
The Computer Journal. 66:1-15
Boosting is a generally known technique to convert a group of weak learners into a powerful ensemble. To reach this desired objective successfully, the modules are trained with distinct data samples and the hypotheses are combined in order to achieve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1755745687c22c7c5fbf8313aec83fb2
https://doi.org/10.1093/comjnl/bxab138
https://doi.org/10.1093/comjnl/bxab138
Publikováno v:
International Journal of Information Technology. 14:375-387
Contrary to one of the major problems in computer tomography image analysis, Image enhancement can be used to improve the clarity and quality of the picture or to provide better conversion presentation for further processing. Contrast growth of one o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39ea14392e8833e81cb79925d75a650f
https://doi.org/10.1007/s41870-020-00429-5
https://doi.org/10.1007/s41870-020-00429-5
Autor:
Ishwar Baidari, Channamma Patil
Publikováno v:
Data Science and Engineering, Vol 4, Iss 2, Pp 132-140 (2019)
This paper proposes a new method called depth difference (DeD), for estimating the optimal number of clusters (k) in a dataset based on data depth. The DeD method estimates the k parameter before actual clustering is constructed. We define the depth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c01133fb83acfb3f491a5ed4ef74f7d
http://link.springer.com/article/10.1007/s41019-019-0091-y
http://link.springer.com/article/10.1007/s41019-019-0091-y
Autor:
Nagaraj Honnikoll, Ishwar Baidari
Publikováno v:
Expert Systems with Applications. 183:115303
The majority of online learners assume that the data distribution to be learned is established in advance. There are many real-world problems where the distribution of the data changes as a function of time. Variations in data streams data distributi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::294f33a73a08585fa132038364c9505f
https://doi.org/10.1016/j.eswa.2021.115303
https://doi.org/10.1016/j.eswa.2021.115303
Publikováno v:
Oriental journal of computer science and technology. 9:204-211
Wireless local area networks (WLANs) are in a period of great expansion and there is a strong need for them to support multimedia applications. With the increasing demand and penetration of wireless services, users of wireless networks now expect Qua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c29e8f766335c1417c4eedd11c41b175
https://doi.org/10.13005/ojcst/09.03.06
https://doi.org/10.13005/ojcst/09.03.06
Autor:
Nagaraj Honnikoll, Ishwar Baidari
Publikováno v:
Expert Systems with Applications. 160:113723
Target distributional change occurring in a data stream known as concept drift, causes a challenging task for an online learning method, as the accuracy of an online learning method may decrease due to these changes. In this paper, the Accuracy Weigh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de80237c13e0edc1fe8498bcf09909ff
https://doi.org/10.1016/j.eswa.2020.113723
https://doi.org/10.1016/j.eswa.2020.113723
Autor:
Channamma Patil, Ishwar Baidari
Publikováno v:
Computational Intelligence: Theories, Applications and Future Directions-Volume I ISBN: 9789811311314
This paper proposes a new data clustering algorithm based on data depth. In the proposed algorithm the centroids of the K-clusters are calculated using Mahalanobis data depth method. The performance of the algorithm called K-Data Depth Based Clusteri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9462e128e6716e62dce51623ac9bc4fd
https://doi.org/10.1007/978-981-13-1132-1_2
https://doi.org/10.1007/978-981-13-1132-1_2
Publikováno v:
International Journal of Computer Applications. 58:6-9
The most important criterion for achieving the maximum performance in wirless sensor and ad-hoc networks is to clustering the nodes. Many clustering schemes have been proposed for different ad-hoc networks. In sensor networks the energy stored in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1d99c021496684d977822ff728bd9be
https://doi.org/10.5120/9396-3345
https://doi.org/10.5120/9396-3345