EURASIP Journal on Wireless Communications and Networking

Table 5 Fuzzy similar matrix

From: A web sentiment analysis method on fuzzy clustering for mobile social media users

1	0.859	0.781	0.554	0.572	0.636	0.71	0.893	0.808	0.759	0.819	0.751	0.587	0.616	0.638
0.859	1	0.739	0.436	0.613	0.694	0.649	0.752	0.667	0.645	0.735	0.753	0.629	0.606	0.774
0.781	0.739	1	0.575	0.374	0.47	0.67	0.696	0.717	0.661	0.703	0.662	0.518	0.458	0.616
0.554	0.436	0.575	1	0.644	0.483	0.634	0.492	0.553	0.543	0.446	0.385	0.247	0.36	0.247
0.572	0.613	0.374	0.644	1	0.749	0.677	0.51	0.481	0.471	0.494	0.521	0.414	0.5	0.476
0.636	0.694	0.47	0.483	0.749	1	0.746	0.536	0.507	0.519	0.693	0.711	0.588	0.684	0.667
0.71	0.649	0.67	0.634	0.677	0.746	1	0.628	0.689	0.691	0.646	0.586	0.421	0.559	0.461
0.893	0.752	0.696	0.492	0.51	0.536	0.628	1	0.903	0.804	0.758	0.69	0.615	0.655	0.531
0.808	0.667	0.717	0.553	0.481	0.507	0.689	0.903	1	0.865	0.673	0.641	0.56	0.662	0.482
0.759	0.645	0.661	0.543	0.471	0.519	0.691	0.804	0.865	1	0.667	0.593	0.612	0.725	0.434
0.819	0.735	0.703	0.446	0.494	0.693	0.646	0.758	0.673	0.667	1	0.926	0.762	0.712	0.721
0.751	0.753	0.662	0.385	0.521	0.711	0.586	0.69	0.641	0.593	0.926	1	0.835	0.756	0.781
0.587	0.629	0.518	0.247	0.414	0.588	0.421	0.615	0.56	0.612	0.762	0.835	1	0.829	0.705
0.616	0.606	0.458	0.36	0.5	0.684	0.559	0.655	0.662	0.725	0.712	0.756	0.829	1	0.625
0.638	0.774	0.616	0.247	0.476	0.667	0.461	0.531	0.482	0.434	0.721	0.781	0.705	0.625	1

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