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Table 1 Attributes of various nodes in the SKDTree

From: SKDStream: a dynamic clustering algorithm on time-decaying data stream

Attribute

Meaning

\(M^k\)

Custer cell

\(\rho _M\)

Leaf node density: cluster cell density

range

The space represented by node indicating MBH

dim

Splitting dimension

key

Splitting key (Eq. 3)

f

Life weights (Eq. 1)

\({\rho }\)

Node density: the spatial density represented by nodes (Eq. 2)

\({t_{last}}\)

The last update density time

ptrs

Pointers to the child node(non-leaf node: two pointers, subleaf node: 1–2d pointers)