Voice identification using classification algorithms
O Mamyrbayev, N Mekebayev… - Intelligent System …, 2019 - books.google.com
This article discusses the classification algorithms for the problem of personality
identification by voice using machine learning methods. We used the MFCC algorithm in the …
identification by voice using machine learning methods. We used the MFCC algorithm in the …
A comparative study of Parkinson disease diagnosis in machine learning
M Younis Thanoun, M T. YASEEN - Proceedings of the 4th International …, 2020 - dl.acm.org
Parkinson's disease (PD) is a cumulative disorder in the nervous system. PD patients may
experience difficulty in movement and speaking due to damages in certain parts in the brain …
experience difficulty in movement and speaking due to damages in certain parts in the brain …
Decomposition/aggregation k-means for big data
A Krassovitskiy, N Mladenovic… - … Optimization Theory and …, 2020 - Springer
Well-known and widely applied k-means clustering heuristic is used for solving Minimum
Sum-of-Square Clustering problem. In solving large size problems, there are two major …
Sum-of-Square Clustering problem. In solving large size problems, there are two major …
How to Use K-means for Big Data Clustering?
K-means plays a vital role in data mining and is the simplest and most widely used algorithm
under the Euclidean Minimum Sum-of-Squares Clustering (MSSC) model. However, its …
under the Euclidean Minimum Sum-of-Squares Clustering (MSSC) model. However, its …