44 search results - page 5 / 9 » Estimating Clustering Indexes in Data Streams |
PODS
2003
ACM
14 years 7 months ago
2003
ACM
The sliding window model is useful for discounting stale data in data stream applications. In this model, data elements arrive continually and only the most recent N elements are ...
PR
2006
13 years 7 months ago
2006
In fuzzy clustering, the fuzzy c-means (FCM) clustering algorithm is the best known and used method. Since the FCM memberships do not always explain the degrees of belonging for t...
CLOUD
2010
ACM
14 years 16 days ago
2010
ACM
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
CSB
2004
IEEE
13 years 11 months ago
2004
IEEE
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
MM
2005
ACM
14 years 1 months ago
2005
ACM
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...