50 search results - page 1 / 10 » A Clustering Algorithm Incorporating Density and Direction |
CIMCA
2008
IEEE
14 years 7 months ago
2008
IEEE
This paper analyses the advantages and disadvantages of the K-means algorithm and the DENCLUE algorithm. In order to realise the automation of clustering analysis and eliminate hu...
SDM
2009
SIAM
15 years 2 months ago
2009
SIAM
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
BCS
2008
14 years 7 months ago
2008
In this work, a new algorithm is proposed for fast estimation of nonparametric multivariate kernel density, based on principal direction divisive partitioning (PDDP) of the data s...
PRL
2007
14 years 5 months ago
2007
We present a method for initialising the K-means clustering algorithm. Our method hinges on the use of a kd-tree to perform a density estimation of the data at various locations. ...
IWANN
2009
Springer
15 years 1 days ago
2009
Springer
Cluster analysis is a technique used in a variety of fields. There are currently various algorithms used for grouping elements that are based on different methods including partiti...