K-Line Patterns’ Predictive Power Analysis Using the Methods of Similarity Match and Clustering

Table 1

The experiment result of TIU.

	1516	0.493	0.486	0.518	0.495	0.475	0.488	0.481	0.479	0.484	0.479	0.1
	79	0.405	0.532	0.557	0.532	0.544	0.506	0.468	0.506	0.43	0.443	0.6
	42	0.405	0.429	0.5	0.452	0.405	0.452	0.429	0.476	0.524	0.476	0.1
	32	0.5	0.594	0.594	0.625	0.594	0.531	0.625	0.594	0.563	0.531	0.9
	25	0.6	0.6	0.52	0.48	0.48	0.4	0.48	0.48	0.6	0.64	0.5
	23	0.435	0.478	0.609	0.565	0.522	0.391	0.478	0.348	0.391	0.391	0.3
	22	0.455	0.636	0.545	0.5	0.545	0.545	0.591	0.591	0.636	0.636	0.8
	21	0.333	0.571	0.524	0.476	0.619	0.857	0.762	0.714	0.429	0.048	0.6
	21	0.524	0.476	0.524	0.429	0.476	0.476	0.429	0.476	0.429	0.429	0.2
	21	0.524	0.476	0.524	0.429	0.381	0.286	0.381	0.429	0.381	0.429	0.2
	19	0.105	0.368	0.421	0.421	0.368	0.421	0.474	0.474	0.579	0.421	0.1
	19	0.579	0.474	0.421	0.368	0.263	0.368	0.316	0.263	0.211	0.211	0.1
	17	0.588	0.294	0.471	0.353	0.412	0.471	0.471	0.412	0.471	0.412	0.1
	15	0.6	0.533	0.467	0.467	0.467	0.467	0.533	0.533	0.6	0.6	0.6
	15	0.533	0.6	0.667	0.6	0.533	0.6	0.6	0.667	0.6	0.6	1
	14	0.5	0.071	0.5	0.429	0.429	0.357	0.286	0.286	0.286	0.429	0
	14	0.643	0.571	0.714	0.714	0.714	0.5	0.643	0.571	0.571	0.714	0.9
	14	0.714	0.857	0.857	0.857	0.786	0.786	0.571	0.643	0.643	0.643	1
	14	0.357	0.571	0.429	0.5	0.357	0.571	0.429	0.429	0.5	0.5	0.2
	13	0.385	0.462	0.692	0.615	0.615	0.692	0.692	0.769	0.769	0.769	0.8
	12	0.5	0.667	0.667	0.667	0.75	0.583	0.583	0.667	0.583	0.583	0.9