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K-Means Divide and Conquer Clustering

K-Means Divide and Conquer Clustering,10.1109/ICCAE.2009.59,Madjid Khalilian,Farsad Zamani Boroujeni,Norwati Mustapha

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K-Means Divide and Conquer Clustering (Citations: 4)


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Cluster analysis, primitive exploration with little or no prior knowledge, consists of research developed across a wide variety of communities. Most clustering techniques ignore the fact about the different size or levels - where in most cases, clustering is more concern with grouping similar objects or samples together ignoring the fact that even though they are similar, they might be of different levels. For really large data sets, data reduction should be performed prior to applying the data-mining techniques which is usually performing dimension reduction, and the main question is whether some of these prepared and preprocessed data can be discarded without sacrificing the quality of results. Existing clustering techniques would normally merge small clusters with big ones, removing its identity. In this study we propose a method which uses divide and conquer technique to improve the performance of the k-means clustering method.

Conference: International Conference on Computer and Automation Engineering - ICCAE , 2009

DOI: 10.1109/ICCAE.2009.59

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Citation Context (3)

- ...In previous study a framework was proposed for K-means divide and conquer clustering by select subspaces by clustering and perform clustering based on these subspaces[13]...
Ali Alijamaat, et al. A Novel Approach for High Dimensional Data Clustering
- ...Nowadays, the D&C approach is applied widely in areas such as Parallel Computing [20], Clustering Computing [21], Granular Computing [22], and Huge Data Mining [23]...
Zheng Li, et al. Software Cost Estimation Framework for Service-Oriented Architecture S...
- ...K-means clustering technique is used to group the student objects based on the Learning behavior into classes of similar students’ objects [1]...
S. Charles, et al. Deriving Association between Learning Behavior and Programming Skills

Software Cost Estimation Framework for Service-Oriented Architecture Systems Using Divide-and-Conquer Approach (Citations: 1)

Conference: Service Oriented System Engineering, IEEE International Symposium on - SOSE , 2010

Deriving Association between Learning Behavior and Programming Skills

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Keywords (11)

K-Means Divide and Conquer Clustering,10.1109/ICCAE.2009.59,Madjid Khalilian,Farsad Zamani Boroujeni,Norwati Mustapha

Citation Context (3)

Ali Alijamaat, et al. A Novel Approach for High Dimensional Data Clustering

Zheng Li, et al. Software Cost Estimation Framework for Service-Oriented Architecture S...

S. Charles, et al. Deriving Association between Learning Behavior and Programming Skills

References (4)

Discriminative K-means for Clustering (Citations: 19)

Clustering Combination Method (Citations: 11)

Variable Selection for Model-Based Clustering (Citations: 76)

k -means projective clustering (Citations: 21)

Citations (4)

Data Stream Clustering: Challenges and Issues (Citations: 2)

A Novel Approach for High Dimensional Data Clustering (Citations: 2)

Software Cost Estimation Framework for Service-Oriented Architecture Systems Using Divide-and-Conquer Approach (Citations: 1)

Deriving Association between Learning Behavior and Programming Skills


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