I am getting out of memory while running following SDP on 150 dataset

I have written the following optimization problem(NEO k means with SDP) in cvx(SDP).

\begin{multline}
\max_{Z,f ,g} \ trace(KZ) − f^Td \
subject to \
trace(W^{−1}Z) = k \
Z_{ij} ≥ 0 \
Z = Z^T \
Ze = Wf \
e^Tf = (1 + α)n \
e^T g ≥ (1 − β)n \
f \geq g \
0 \leq g \leq 1
\end{multline}

I have written the following code for the above optimization problem in the cvx matlab.

cvx_begin SDP
 variables Z(n_datapoints,n_datapoints) f(n_datapoints,1) g(n_datapoints,1)
 minimize ((f' * d ) - trace(K * Z))
 trace(inv(W) *  Z) == k_classes
 Z >= 0 
 Z == Z'
 (Z * e) == (W * f)
 e' * f == (1+alpha)*n_datapoints
 e'* g >= (1-beta)*n_datapoints
 f >= g
 g>= 0
 g <= 1
cvx_end

% now use cvx to formulate the problem
cvx_begin SDP
variables Z(n_datapoints,n_datapoints) f(n_datapoints,1) g(n_datapoints,1)
trace( Z/W) == k_classes
Z >= 0
Z == Z’
(Z * e) == (W * f)
e’ * f == (1+alpha)n_datapoints
e’ g >= (1-beta)*n_datapoints
f >= g
g>= 0
g <= 1
minimize ((f’ * d ) * trace(K * Z))
cvx_end
cvx_status

I don’t know whether I have written it correctly or not. Whenever I am running it , it is giving me out of memory error.
Please help me.

What happens if you try another solver, like SeDuMi or MOSEK?

Unfortunately, if you’re running out of memory, there’s likely nothing we can do.

I am new to CVX . Could you please tell me whether the formulation I have done is correct ot not ?