文件名称:lagrangepoly
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The paper presents new clustering algorithm. The
proposed algorithm gives less distortion as compared to well
known Linde Buzo Gray (LBG) algorithm and Kekre’s
Proportionate Error (KPE) Algorithm. Constant error is added
every time to split the clusters in LBG, resulting in formation of
cluster in one direction which is 1350 in 2-dimensional case.
Because of this reason clustering is inefficient resulting in high
MSE in LBG.
proposed algorithm gives less distortion as compared to well
known Linde Buzo Gray (LBG) algorithm and Kekre’s
Proportionate Error (KPE) Algorithm. Constant error is added
every time to split the clusters in LBG, resulting in formation of
cluster in one direction which is 1350 in 2-dimensional case.
Because of this reason clustering is inefficient resulting in high
MSE in LBG.
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lagrangepoly/demo_lagrangepoly.m
lagrangepoly/html/demo_lagrangepoly.html
lagrangepoly/html/demo_lagrangepoly.png
lagrangepoly/html/demo_lagrangepoly_01.png
lagrangepoly/lagrangepoly.m
license.txt
lagrangepoly/html/demo_lagrangepoly.html
lagrangepoly/html/demo_lagrangepoly.png
lagrangepoly/html/demo_lagrangepoly_01.png
lagrangepoly/lagrangepoly.m
license.txt
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