Amanote Research

Amanote Research

    RegisterSign In

Temporal Dietary Patterns Using Kernel K-Means Clustering

doi 10.1109/ism.2011.68
Full Text
Open PDF
Abstract

Available in full text

Date

December 1, 2011

Authors
Nitin KhannaHeather A. Eicher-MillerCarol J. BousheySaul B. GelfandEdward J. Delp
Publisher

IEEE


Related search

Distributed Kernel K-Means for Large Scale Clustering

2017English

Kernel-Reliability-Based K-Means (KRKM) Clustering Algorithm and Image Processing

IEICE Transactions on Information and Systems
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
2014English

Clustering Using Boosted Constrained K-Means Algorithm

Frontiers Robotics AI
Computer Science ApplicationsArtificial Intelligence
2018English

Using K-Means Clustering in International Location Decision

Journal of Global Operations and Strategic Sourcing
ManagementOrganizational BehaviorHuman Resource ManagementStrategyManagement ScienceOperations Research
2018English

Image to Image Search Using K-Means Clustering

International Journal of Computer Applications
2019English

Clustering Students by K-Means

International Journal of Computer Applications Technology and Research
2016English

Using K-Means Mathod for Clustering Data With Omissions

Actual problems of automation and information technology
2019English

Recommendation of Web Pages Using Weighted K-Means Clustering

International Journal of Computer Applications
2014English

Locally Private K-Means Clustering

2020English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy