Is K-means for clustering data with many zero values?

Is K-means for clustering data with many zero values?



1.matrix - Is K-means for clustering data with many zero ...

Description:Is K-means for clustering data with many zero ... I need to
cluster a matrix which contains mostly zeros values...Is K-means
appropriate for these kind of data or do ...



2.k-means clustering - Wikipedia, the free encyclopedia

Description:k -means clustering is a method of vector quantization ,
originally from signal processing, that is popular for cluster analysis in
data mining . k -means clustering ...



3.Determining the number of clusters in a data set ...

Description:Determining the number of clusters in a data set, a quantity
often labeled k as in the k -means algorithm, is a frequent problem in
data clustering, and is a distinct ...



4.Cluster analysis introduction - CAMO

Description:K-Means Clustering - cluster analysis ... cluster analysis
method included in The Unscrambler multivariate data analysis ... This
parameter could take definite ...



5.Clustering - K-means - Politecnico di Milano

Description:where is a chosen distance measure between a data point and
the cluster ... The results produced depend on the initial values ...
"K-Means Clustering ...



6.Data Clustering - Detecting Abnormal Data Using k-Means ...

Description:Learn how C# developers can use k-Means clustering to group
data ... cluster ID and returns the values of the data ... data before
clustering. There are many ...



7.Test Run - Converting Numeric Data to Categorical Data

Description:... to discretize data. Many ... k-means clustering on the
data and the values in the final ... the count of values assigned to a
cluster is zero, ...



8.13 k -Means - Oracle Documentation

Description:... multiple k-means models and provides clustering results
that are ... values in nested columns, k-Means ... own data preparation
for k-Means, ...



9.Web-Scale K-Means Clustering - Tufts University

Description:Web-Scale K-Means Clustering ... is slow for large data sets.
Even op-timized batch k-means variants exploiting ... point c′ with
many fewer non-zero values.



10.K-means clustering - MATLAB kmeans - MathWorks

Description:Exploratory Data Analysis; Cluster Analysis; k-Means ...
K-means clustering. expand all in ... enables you to specify optional
parameter/value pairs to control the ...