How do I Cluster event data into similar groups

In order to cluster the event log data, I have tried both K means and hierarchical techniques. However, I have not been able to get a proper output. It is necessary to group the data based on similar event I'm using K-means

clustering_score = []
for i in range(1, 11):
    kmeans = KMeans(n_clusters = i, init = 'random', random_state = 42)
    kmeans.fit(X)
    clustering_score.append(kmeans.inertia_)
 kmeans= KMeans(n_clusters = 5, random_state = 42)
 kmeans.fit(X)

An example of complaint handling event data is as follows:

As a result, we are now grouping the similar case ids and creating a group for them I tried but I couldn't form clusters

Desired output:

Any suggestions that I can create clusters as shown in desired output with my data using python ? Thanks!