movie_2

<p>The second view(participant view) of Movie data set.  Movie data set contains 2 views, each containing 1878 variables from 617 instances, and the number of clusters to be clustered is K = 17. The number of clusters is large, so it is difficult to cluster. The data set was extracted from IMDb and the main objective was to to find the movie genres, combined from two view matrices.</p>

data sets

Algorithm of online regularized k-means to deal with online multi(single) view data.
The philosophy of the package is described in Guo G. (2024)
<doi:10.1016/j.ins.2024.121133>.

Guangbao Guo

ORKM

The Online Regularized K-Means Clustering Algorithm

Miao Yu

Haoyue Song

Ruiling Niu

movie_2 function

<p>The format is:
 num [1:617, 1:1398] 1 0 0 0 0 0 0 0 0 0 ...</p>

Format

The second view of Movie data set. — movie_2

The second view of Movie data set.

movie_2: The second view of Movie data set.

Description

Usage

Arguments

Format

Details

References

Examples