A novel nearest neighbors algorithm based on power muirhead mean
Abstract
References
Index Terms
- A novel nearest neighbors algorithm based on power muirhead mean
Recommendations
Pythagorean fuzzy power Muirhead mean operators with their application to multi-attribute decision making
Special Section: Ambient advancements in intelligent computational sciencesThe sum of membership and non-membership degrees of the Pythagorean fuzzy set is greater than one with their square sum less than or equal to one. Thus, as an extension of intuitionistic fuzzy set, the Pythagorean fuzzy set is a powerful tool to describe ...
A Weighted Local Mean-Based k-Nearest Neighbors Classifier for Time Series
ICMLC '17: Proceedings of the 9th International Conference on Machine Learning and ComputingWe propose a Weighted Local Mean-based k Nearest Neighbors (WLMk-NN) classifier for time series. The proposed method is different from Local Mean-based k-Nearest Neighbors (LMk-NN) in that it assigns a weight for each element of time series when ...
K-Nearest Neighbor Finding Using MaxNearestDist
Similarity searching often reduces to finding the k nearest neighbors to a query object. Finding the k nearest neighbors is achieved by applying either a depth- first or a best-first algorithm to the search hierarchy containing the data. These ...
Comments
Information & Contributors
Information
Published In
Publisher
IOS Press
Netherlands
Publication History
Author Tags
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
View options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in