K-Means Clustering With Incomplete Data

K-Means Clustering With Incomplete Data

Clustering has been intensively studied in machine learning and data mining communities. Although demonstrating promising performance in various applications, most of the existing clustering algorithms cannot efficiently handle clustering tasks with incomplete features which is common in practical a...

Full description

Bibliographic Details
Main Authors: Siwei Wang, Miaomiao Li, Ning Hu, En Zhu, Jingtao Hu, Xinwang Liu, Jianping Yin
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
K-means clustering
incomplete data
imputing method
Online Access:https://ieeexplore.ieee.org/document/8693952/

Internet

https://ieeexplore.ieee.org/document/8693952/

Similar Items