As more business transactions and information services have been implemented via communication networks, both personal organization assets encounter a higher risk of attacks. To safeguard these, perimeter defence like NIDS (network-based intrusion detection system) can be effective for known intrusions. There has great deal attention within the joint community security data science to improve m...

Clustering is a commonly used method for exploring and analysing data where the primary objective to categorise observations into similar clusters. In recent decades, several algorithms methods have been developed clustered data. We notice that most of these techniques deterministically define cluster based on value attributes, distance, density homogenous single-featured datasets. However, def...

Cluster ensembles generate a large number of different clustering solutions and combine them into a more robust and accurate consensus clustering. On forming the ensembles, the literature has suggested that higher diversity among ensemble members produces higher performance gain. In contrast, some studies also indicated that medium diversity leads to the best performing ensembles. Such contradi...