% clear all
close all
%carga la hoja de datos
f=xlsread('IrradBilbo2.xlsx', 1, 'f4:f8763');
%calculo de promedio
y=mean(f);
%clausterización por kmean
idx=kmeans(8759, 52);
%graficación
figure(1)
grid on
hold on
ylabel('Potencia [Wm2]');
xlabel('meses del año');
title ('Radiación Anual');
plot(f); %grafica los 8763 valores de irradiacion del año
figure(2)
grid on
hold on
ylabel('Potencia [Wm2]');
xlabel('meses del año');
title ('Radiación Anual');
plot(y,'*'); %grafica el promedio de los 8763 valores de irradiacion del año
%escritura de valores
fprintf('promedio de irradiación anual %f/n:', y);
Neeta Dsouza answered . 2024-05-17 23:23:45
the kmeans function.
IDX = kmeans(X,K)
The first input (X) should be an N-by-P data matrix, where N is the number of instances to cluster and P is the number of features. The second input (K) is the number of clusters you desire. The output (IDX) will be an N-by-1 vector of cluster indices for each data point.
In your script, you call
idx = kmeans(8759,52);
The first input is the problem. It is a scalar! In other words, you have only 1 data point with 1 feature. It is impossible to cluster this "data" into 52 clusters. From a very brief glance at your code, I think you may want this instead:
idx = kmeans(f,52);
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