data2.in

用分类算法挖掘数据表达模式中的平移变化和放缩变化

2.057130485	30.02937032	9.793249212	42.86101498	74.27134425	2.547799019	78.00140107	6.626739092	72.13093095	10.90115625	22	23	24	25	26	27	28	29	30	31	15.78625886	0.593156465	68.11284967	40.52097168	60.27844727	39.0099052	32.81888963	44.85198811	41.8085431	13.63524323	78.92737798	12.53003567	16.49072346	11.59359115	79.99966895	62.80002225	48.87181951	89.23683735	18.78251285	56.40248263	39.89692236	28.74807764	40.76598035	1.708997178	71.91873115	2.683023383	6.43974299	13.30307163	39.49111872	95.68844639	42.64978623	76.18107907	34.30231197	70.79974586	48.67999463	95.64931423	41.4074981	47.30765561	17.55909791	50.10531331	101.2757829	15.14686226	0.772511254	9.904009511	28.240329	22.07817081	21.49958884	15.8604786	2.942662007	89.13001572	80.23601875	3.141641437	73.66488501	47.48109428	16.26763529	28.37311059	37.95144889	33.2017596	6.166409923	10.59077686	70.15248797	88.91660373	70.94453716	46.6755522	57.74726175	13.79349399	119.2299919	36.63896375	24.41509707	56.04711791	49.02747237	153.5098934	24.14928072	5.285660525	55.90247194	51.88911941	13.42269846	19.44173017	29.12405524	115.0279156
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7.620894394	45.73422309	32.60360724	71.92718142	26.21844405	33.96587614	30.57865327	32.81935958	24.80681897	6.597983012	24	25	26	27	28	29	30	31	32	33	75.17926188	32.85606584	43.4722987	89.49215861	5.077070675	69.34700125	38.30864207	94.18264867	21.1071501	14.18451973	7.56340801	80.38246878	7.706362732	5.741926503	32.08970589	18.4439072	32.06293955	88.6212686	68.05773858	70.49890479	110.8393125	17.52056577	1.399266614	14.2115792	16.92913091	8.430526175	87.92446856	20.15085344	75.44755544	29.90203332	3.696790638	64.05416001	17.72081284	38.28300213	62.36705913	12.7721405	49.13868137	1.070220118	14.5389575	4.710572962	42.25273207	54.3207906	71.11598333	4.903991535	104.7872766	13.50375743	10.83463344	102.1264206	10.38574417	26.05165168	14.14714951	160.8804595	3.91388907	47.84132952	12.22051343	52.79138572	40.87103061	5.926119478	38.01014532	62.84382695	9.312959177	30.82353334	2.285852598	15.11899183	38.06053656	57.55775039	7.889110019	44.81550706	36.91288396	4.67186352	15.46022585	81.92101751	16.19575293	80.80335305	74.75468535	7.358230782	14.93882165	70.27266288	9.003183382	26.86196559
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15.31421386	31.13996486	30.6903125	5.751362378	1.137392646	9.722327016	54.52487326	35.15572117	5.893504534	5.343239187	28	29	30	31	32	33	34	35	36	37	35.01797782	90.11205286	23.39610189	29.67729837	104.0709725	38.88946672	28.8864843	53.72012671	44.14482616	0.627817196	30.31905077	35.05446513	42.13966972	12.5238301	33.73216934	36.80847451	115.5308093	64.60554761	2.668745614	1.558014739	50.21534819	31.7137428	43.15830002	7.036115778	32.40464984	67.39052916	9.361912711	12.81736837	39.39456173	21.07372843	30.91596685	5.393671644	117.1407972	98.74936332	13.54331531	24.97693286	57.43414792	141.0217062	32.34194764	5.191852597	76.39798414	3.034935843	4.671672567	25.03549695	69.82621776	25.46772137	20.63094347	47.56377444	91.29872616	30.95494649	25.67556406	52.39322087	3.499196874	12.98200076	23.03613596	2.353026378	50.27506137	37.68702254	55.58990742	31.34123083	53.01968398	23.57922568	14.70005048	43.56153304	141.3835612	7.402278653	47.04569067	55.99371691	34.17121623	56.26968859	82.44105157	60.3569157	54.12600188	1.489758255	141.9379291	46.6517865	31.85757592	105.9778942	26.43015609	1.071189543
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