DEDIC: Density Estimation Clustering Method Using Directly Interconnected Cores

DEDIC: Density Estimation Clustering Method Using Directly Interconnected Cores

Numerous clustering algorithms become invalid when data classes are unbalanced and close to each other, or clusters are arbitrary shapes and have different densities. A novel region density based clustering algorithm, DEDIC, is proposed to meet this challenge. It is based on recognizing dense region...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид: Yisen Lin, Xinlun Zhang, Lei Liu, Huichen Qu
Формат: Өгүүллэг
Хэл сонгох:English
Хэвлэсэн: IEEE 2022-01-01
Цуврал:IEEE Access
Нөхцлүүд:
Clustering
region density
mutual neighbors
dimensionality reduction
arbitrary shapes
pattern recognition
Онлайн хандалт:https://ieeexplore.ieee.org/document/9987490/

Интернэт

https://ieeexplore.ieee.org/document/9987490/

Ижил төстэй зүйлс