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K*-Means: An Effective and Efficient K-Means Clustering Algorithm

https://doi.org/10.1109/bdcloud-socialcom-sustaincom.2016.46
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-10665-1_71openalex-snapshot
Parallel K-Means Clustering Based on MapReduce
inferredcites →https://doi.org/10.1007/978-3-642-20877-5_34openalex-snapshot
A Bad Instance for k-Means++
inferredcites →https://doi.org/10.1007/s10878-005-6857-3openalex-snapshot
Clustering Binary Oligonucleotide Fingerprint Vectors for DNA Clone Classification Analysis
inferredcites →https://doi.org/10.1016/0377-0427(87)90125-7openalex-snapshot
Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
inferredcites →https://doi.org/10.1016/j.eswa.2012.07.021openalex-snapshot
A comparative study of efficient initialization methods for the k-means clustering algorithm
inferredcites →https://doi.org/10.1016/j.patcog.2014.01.015openalex-snapshot
The MinMax k-Means clustering algorithm
inferredcites →https://doi.org/10.1016/j.patrec.2007.01.001openalex-snapshot
A method for initialising the K-means clustering algorithm using kd-trees
inferredcites →https://doi.org/10.1016/j.patrec.2007.12.009openalex-snapshot
Hierarchical initialization approach for K-Means clustering
inferredcites →https://doi.org/10.1016/j.patrec.2009.09.011openalex-snapshot
Data clustering: 50 years beyond K-means
inferredcites →https://doi.org/10.1016/s0167-8655(99)00069-0openalex-snapshot
An empirical comparison of four initialization methods for the K-Means algorithm
inferredcites →https://doi.org/10.1109/bibe.2006.253340openalex-snapshot
Using Gene Clustering to Identify Discriminatory Genes with Higher Classification Accuracy
inferredcites →https://doi.org/10.1109/tpami.2002.1017616openalex-snapshot
An efficient k-means clustering algorithm: analysis and implementation
inferredcites →https://doi.org/10.1137/1.9781611972801.12openalex-snapshot
Making k -means even faster
inferredcites →https://doi.org/10.1142/9781860947995_0011openalex-snapshot
SELECTING GENES WITH DISSIMILAR DISCRIMINATION STRENGTH FOR SAMPLE CLASS PREDICTION
inferredcites →https://doi.org/10.14778/2180912.2180915openalex-snapshot
Scalable k-means++
inferredcites →https://doi.org/10.3233/ida-2007-11402openalex-snapshot
In search of deterministic methods for initializing K-means and Gaussian mixture clustering
inferredcites →https://doi.org/10.5555/1283383.1283494openalex-snapshot
k-means++: the advantages of careful seeding
inferredcites →https://doi.org/10.6688/jise.2005.21.6.4openalex-snapshot
An efficient k-means clustering algorithm using simple partitioning

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