Fix np.asmatrix replacement: correct reshape to match original behavior

The original np.asmatrix on a 1D array creates a row vector (1, m), which when
transposed becomes (m, 1). The previous fix created (m, 1) directly, which
when transposed gave (1, m), causing a shape mismatch in np.append.

Changed reshape(-1, 1) to reshape(1, -1) to match the original np.asmatrix behavior.

Author: rlaplaza

navicat_marc/clustering.py

@@ -519,7 +519,7 @@ def _get_mean(sums, step):
 
     centroids = np.zeros((k, n))
 
-    composite = np.array(np.sum(ds, axis=1)).reshape(-1, 1)
+    composite = np.array(np.sum(ds, axis=1)).reshape(1, -1)
     ds = np.append(composite.T, ds, axis=1)
     ds.sort(axis=0)