In this paper we develop a novel evaluation measure for stream clustering called Cluster Mapping Measure (CMM). CMM effectively indicates different types of ...
In this paper we develop a novel evaluation measure for stream clustering called Cluster Mapping Measure (CMM). CMM effectively indicates different types of ...
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This paper develops a novel evaluation measure for stream clustering called Cluster Mapping Measure (CMM), which effectively indicates different types of ...
Aug 24, 2011 · In this paper we develop a novel evaluation measure for stream clustering called Cluster Mapping Measure (CMM). CMM effectively indicates ...
Oct 25, 2020 · Bibliographic details on An effective evaluation measure for clustering on evolving data streams.
Furthermore, we expect CluS- tream to be more effective than current algorithms at clustering rapidly evolving data streams. We will first show the ...
In today's applications, evolving data streams are ubiquitous. Stream clustering algorithms were introduced to gain useful knowledge from these streams in ...
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A novel experimental framework for stream clustering algorithms and evaluation measures for clusterings is presented and is an extension of the Massive ...
This chapter discusses a framework for clustering evolving data streams. The clustering problem is a difficult problem for the data stream domain.
In this paper we propose, to the first of our knowledge, the first subspace clustering measure that is designed for streaming data, called SubCMM: Subspace ...