Apply the hard clustering K-means II to the dataset [math](-10,1),(10,1),(-10,-1),(10,-1)[/math] with initial cluster means [math](0,1),(0,-1)[/math] and tolerance [math]\varepsilon=0[/math].

For this initialization, will Algorithm K-means II get trapped in a local minimum of the clustering error?