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213
Voted
PKDD
2000
Springer
15 years 10 months ago
2000
Springer
Abstract. A new constrained model is discussed as a way of incorporating efficiently a priori expert knowledge into a clustering problem of a given individual set. The first innova...
183
Voted
NIPS
2007
15 years 8 months ago
2007
Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....
197
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PAMI
2006
15 years 6 months ago
2006
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
153
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SIGKDD
2000
15 years 6 months ago
2000
This paper presents a simple new algorithm that performs k-means clustering in one scan of a dataset, while using a bu er for points from the dataset of xed size. Experiments show...
230
Voted
ICC
2011
IEEE
14 years 6 months ago
2011
IEEE
Abstract—Wireless Sensor Networks are proven highly successful in many areas, including military and security monitoring. In this paper, we propose a method to use the edge–bet...