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Many of the text mining applications contain a huge amount of information from document in the form of text. This text can be very helpful for Text Clustering. This text also includes various kind of other information known as Side Information or Metadata. Examples of this side information include links to other web pages, title of the document, author name or date of Publication which are present...
Hierarchical clustering is of enormous importance in data analytics especially because of the exponential growth of the real world data. Frequently these data are unlabelled and there is small prior domain knowledge offered. In this work the plan is to improve the efficiency by introducing a set of methods dealt with synthetic and real data on agglomerative hierarchical clustering followed by k-means...
This paper investigates various Similarity/Dissimilarity measures for Intrusion Detection Problem. In this paper we implemented an offline Anomaly based IDS using agglomerative and partition based clustering algorithms with selected Similarity/Dissimilarity measures. In unsupervised learning labeling the clusters is an important task. This paper employed two cluster labeling algorithms, SNC labeling...
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