chore: update according to code review

Signed-off-by: Nakul Krishnakumar <nakulkrishnakumar86@gmail.com>

Author: nakul-krishnakumar

lib/node_modules/@stdlib/ml/base/cluster/kmeans/metrics/README.md

@@ -54,6 +54,7 @@ The output array contains the following metrics:
 -   `sqeuclidean`: squared euclidean distance.
 -   `cosine`: cosine distance.
 -   `cityblock`: cityblock (taxicab) distance.
+-   `correlation`: correlation distance.
 
 </section>
 
@@ -128,6 +129,7 @@ An enumeration of KMeans distance metrics with the following fields:
 -   **STDLIB_ML_CLUSTER_KMEANS_SQEUCLIDEAN**: squared euclidean distance.
 -   **STDLIB_ML_CLUSTER_KMEANS_COSINE**: cosine distance.
 -   **STDLIB_ML_CLUSTER_KMEANS_CITYBLOCK**: cityblock (taxicab) distance.
+-   **STDLIB_ML_CLUSTER_KMEANS_CORRELATION**: correlation distance.
 
 ```c
 #include "stdlib/ml/base/cluster/kmeans/metrics.h"

lib/node_modules/@stdlib/ml/base/cluster/kmeans/metrics/docs/repl.txt

@@ -4,9 +4,10 @@
 
     The output array contains the following metrics:
 
-    - euclidean: squared euclidean distance.
+    - sqeuclidean: squared euclidean distance.
     - cosine: cosine distance.
     - cityblock: cityblock (taxicab) distance.
+    - correlation: correlation distance.
 
     Returns
     -------

lib/node_modules/@stdlib/ml/base/cluster/kmeans/metrics/include/stdlib/ml/cluster/base/kmeans/metrics.h

@@ -30,7 +30,10 @@ enum STDLIB_ML_CLUSTER_KMEANS_METRICS {
 	STDLIB_ML_CLUSTER_KMEANS_COSINE,
 
 	// Cityblock (taxicab) distance:
-	STDLIB_ML_CLUSTER_KMEANS_CITYBLOCK
+	STDLIB_ML_CLUSTER_KMEANS_CITYBLOCK,
+
+	// Correlation distance:
+	STDLIB_ML_CLUSTER_KMEANS_CORRELATION
 };
 
 #endif // !STDLIB_ML_BASE_CLUSTER_KMEANS_METRICS_H